José C. Príncipe

According to our database1, José C. Príncipe authored at least 602 papers between 1989 and 2019.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2000, "For development of the gamma neural model and for its applications in signal processing.".

Timeline

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Bibliography

2019
Quantized Minimum Error Entropy Criterion.
IEEE Trans. Neural Netw. Learning Syst., 2019

Analysis of Agent Expertise in Ms. Pac-Man Using Value-of-Information-Based Policies.
IEEE Trans. Games, 2019

Maximum Correntropy Criterion With Variable Center.
IEEE Signal Process. Lett., 2019

Understanding autoencoders with information theoretic concepts.
Neural Networks, 2019

Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters.
Med. Biol. Engineering and Computing, 2019

Concept drift detection and adaptation with hierarchical hypothesis testing.
J. Franklin Institute, 2019

Simple Stopping Criteria for Information Theoretic Feature Selection.
Entropy, 2019

Reduction of Markov Chains Using a Value-of-Information-Based Approach.
Entropy, 2019

Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR, 2019

Multiscale Principle of Relevant Information for Hyperspectral Image Classification.
CoRR, 2019

Minimum Error Entropy Kalman Filter.
CoRR, 2019

Maximum Correntropy Criterion with Variable Center.
CoRR, 2019

Reduction of Markov Chains using a Value-of-Information-Based Approach.
CoRR, 2019

An Exact Reformulation of Feature-Vector-based Radial-Basis-Function Networks for Graph-based Observations.
CoRR, 2019

Theory and Algorithms for Pulse Signal Processing.
CoRR, 2019

IEEE Fellows - Class of 2019 [Society Briefs].
IEEE Comp. Int. Mag., 2019

Sparse Wave Packets Discriminate Motor Tasks in EEG-based BCIs.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs.
Proceedings of the Advances in Computational Intelligence, 2019

Fast segmentation for large and sparsely labeled coral images.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using a Recurrent Kernel Learning Machine for Small-Sample Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

An Information-theoretic Approach for Automatically Determining the Number of State Groups When Aggregating Markov Chains.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Differential-geometric Approach for Globally Solving a Non-convex, Discontinuous Depth Estimation Problem for Plenoptic Camera Images.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming.
IEEE Trans. Neural Netw. Learning Syst., 2018

Robust C-Loss Kernel Classifiers.
IEEE Trans. Neural Netw. Learning Syst., 2018

Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion.
IEEE Trans. Neural Netw. Learning Syst., 2018

Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks.
IEEE Trans. Neural Netw. Learning Syst., 2018

Insights Into the Robustness of Minimum Error Entropy Estimation.
IEEE Trans. Neural Netw. Learning Syst., 2018

Autonomous Learning Multimodel Systems From Data Streams.
IEEE Trans. Fuzzy Systems, 2018

Fairness constrained diffusion adaptive power control for dense small cell network.
Telecommunication Systems, 2018

A Generalized Methodology for Data Analysis.
IEEE Trans. Cybernetics, 2018

A real-time, power-efficient architecture for mean-shift image segmentation.
J. Real-Time Image Processing, 2018

Hierarchical linear dynamical systems for unsupervised musical note recognition.
J. Franklin Institute, 2018

A method for autonomous data partitioning.
Inf. Sci., 2018

Self-Organised direction aware data partitioning algorithm.
Inf. Sci., 2018

A flexible testing environment for visual question answering with performance evaluation.
Neurocomputing, 2018

Complex correntropy function: Properties, and application to a channel equalization problem.
Expert Syst. Appl., 2018

An Analysis of the Value of Information When Exploring Stochastic, Discrete Multi-Armed Bandits.
Entropy, 2018

Simple stopping criteria for information theoretic feature selection.
CoRR, 2018

Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional.
CoRR, 2018

Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels.
CoRR, 2018

A Taxonomy for Neural Memory Networks.
CoRR, 2018

Understanding Convolutional Neural Network Training with Information Theory.
CoRR, 2018

Understanding Autoencoders with Information Theoretic Concepts.
CoRR, 2018

Learning Multiple Levels of Representations with Kernel Machines.
CoRR, 2018

Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion.
CoRR, 2018

Augmented Space Linear Model.
CoRR, 2018

2018 IEEE CIS Awards [Society Briefs].
IEEE Comp. Int. Mag., 2018

Kernelized Q-Learning for Large-Scale, Potentially Continuous, Markov Decision Processes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Correntropy Based Hierarchical Linear Dynamical System For Speech Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Augmented Space Linear Model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Comparison of Static Neural Network with External Memory and RNNs for Deterministic Context Free Language Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Surprise-Novelty Information Processing for Gaussian Online Active Learning (SNIP-GOAL).
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Top-down Gamma Saliency - Learning to Search for Objects in Complex Scenes.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Partitioning Relational Matrices of Similarities or Dissimilarities Using the Value of Information.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Nearest-Instance-Centroid-Estimation Linear Discriminant Analysis (Nice Lda).
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Joint Image Segmentation and Classification with Application to Cluttered Coral Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Clustering Based Kernel Reinforcement Learning for Neural Adaptation in Brain-Machine Interfaces.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Quantitative Analysis of a Marked Point Process based Sleep Spindle Detector (MPP-SSD).
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Processing, 2017

Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering.
IEEE Trans. Signal Processing, 2017

Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding.
IEEE Trans. Neural Netw. Learning Syst., 2017

Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data.
IEEE Signal Process. Lett., 2017

Robust support vector machines based on the rescaled hinge loss function.
Pattern Recognition, 2017

Marine animal classification using UMSLI in HBOI optical test facility.
Multimedia Tools Appl., 2017

A new type of distance metric and its use for clustering.
Evolving Systems, 2017

Corrigendum to "Cyclostationary Correntropy: Definition and applications" [Expert Systems with Applications 69 (2017) 110-117].
Expert Syst. Appl., 2017

Cyclostationary correntropy: Definition and applications.
Expert Syst. Appl., 2017

Partitioning Relational Matrices of Similarities or Dissimilarities using the Value of Information.
CoRR, 2017

Quantized Minimum Error Entropy Criterion.
CoRR, 2017

Using the Value of Information to Explore Stochastic, Discrete Multi-Armed Bandits.
CoRR, 2017

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era.
CoRR, 2017

Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient.
CoRR, 2017

Concept Drift Detection and Adaptation with Hierarchical Hypothesis Testing.
CoRR, 2017

Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies.
CoRR, 2017

Marine Animal Classification with Correntropy Loss Based Multi-view Learning.
CoRR, 2017

Maximum correntropy Kalman filter.
Automatica, 2017

Welcome message.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Unsupervised robust detection of behavioral correlates in ECoG.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Automatic plant identification using stem automata.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Adaptive filtering based on extended kernel recursive maximum correntropy.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Flight dynamics modeling and recognition using finite state machine for automatic insect recognition.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fusing attention with visual question answering.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fast feedforward non-parametric deep learning network with automatic feature extraction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Perception Updating Networks: On architectural constraints for interpretable video generative models.
Proceedings of the 5th International Conference on Learning Representations, 2017

Autoencoders trained with relevant information: Blending Shannon and Wiener's perspectives.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Balancing exploration and exploitation in reinforcement learning using a value of information criterion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A novel methodology to quantify dense EEG in cognitive tasks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Automatic insect recognition using optical flight dynamics modeled by kernel adaptive ARMA network.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Hardware implementation of adder for pulse signal processing.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Time based gain control for the analog to pulse converter.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A marked point process approach for identifying neural correlates of tics in Tourette Syndrome.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Group-Wise Point-Set Registration Based on Rényi's Second Order Entropy.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Generalized Correntropy for Robust Adaptive Filtering.
IEEE Trans. Signal Processing, 2016

The Kernel Adaptive Autoregressive-Moving-Average Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2016

Kernel Learning for Dynamic Texture Synthesis.
IEEE Trans. Image Processing, 2016

Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric Learning.
IEEE Trans. Comput. Intellig. and AI in Games, 2016

Tracking Neural Modulation Depth by Dual Sequential Monte Carlo Estimation on Point Processes for Brain-Machine Interfaces.
IEEE Trans. Biomed. Engineering, 2016

Learning Recurrent Waveforms Within EEGs.
IEEE Trans. Biomed. Engineering, 2016

Fault detection via recurrence time statistics and one-class classification.
Pattern Recognition Letters, 2016

Neurally Encoding Time for Olfactory Navigation.
PLoS Computational Biology, 2016

Efficient and robust deep learning with Correntropy-induced loss function.
Neural Computing and Applications, 2016

Kernel least mean square with adaptive kernel size.
Neurocomputing, 2016

Correntropy induced joint power and admission control algorithm for dense small cell network.
IET Communications, 2016

Insights into Entropy as a Measure of Multivariate Variability.
Entropy, 2016

Self-organizing kernel adaptive filtering.
EURASIP J. Adv. Sig. Proc., 2016

Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric Penalty.
CSSP, 2016

Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks.
CoRR, 2016

Information Theoretic-Learning Auto-Encoder.
CoRR, 2016

Signal Processing with Pulse Trains: An Algebraic Approach- Part II.
CoRR, 2016

Signal Processing with Pulse Trains: An Algebraic Approach- Part I.
CoRR, 2016

A Study of Musical Pitch Distance Using a Self-Organized Hierarchical Linear Dynamical System on Acoustic Signals.
Computer Music Journal, 2016

Empirical data analysis: A new tool for data analytics.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A robust maximum correntropy criterion for dictionary learning.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Robust bounded logistic regression in the class imbalance problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Density-dependent quantized kernel least mean square.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Information Theoretic-Learning auto-encoder.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiple adaptive kernel size KLMS for Beijing PM2.5 prediction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Transient model of EEG using Gini Index-based matching pursuit.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Information point set registration for shape recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Predicting visual attention using gamma kernels.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Kernel adaptive filtering subject to equality function constraints.
Proceedings of the 24th European Signal Processing Conference, 2016

Quantification of neural functional connectivity during an active avoidance task.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Maximum correntropy based attention-gated reinforcement learning designed for brain machine interface.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Theoretical Methods in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Context Dependent Encoding Using Convolutional Dynamic Networks.
IEEE Trans. Neural Netw. Learning Syst., 2015

Measures of Entropy From Data Using Infinitely Divisible Kernels.
IEEE Trans. Information Theory, 2015

Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study.
IEEE Trans. Geoscience and Remote Sensing, 2015

Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2015

An algorithm based on non-squared sum of the errors.
Signal Processing, 2015

Special Issue on Advances in Self-organizing Maps.
Neurocomputing, 2015

Self-organizing maps with information theoretic learning.
Neurocomputing, 2015

Filter & hold: a mixed continuous-/discrete-time technique for time-constant scaling.
I. J. Circuit Theory and Applications, 2015

Performance evaluation of the correntropy coefficient in automatic modulation classification.
Expert Syst. Appl., 2015

Convergence of a Fixed-Point Minimum Error Entropy Algorithm.
Entropy, 2015

Minimum Error Entropy Algorithms with Sparsity Penalty Constraints.
Entropy, 2015

Proportionate Minimum Error Entropy Algorithm for Sparse System Identification.
Entropy, 2015

Smoothed least mean p-power error criterion for adaptive filtering.
Digital Signal Processing, 2015

An Adaptive Signal Processing Framework for PV Power Maximization.
CSSP, 2015

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases.
CoRR, 2015

Generalized Correntropy for Robust Adaptive Filtering.
CoRR, 2015

Maximum Correntropy Kalman Filter.
CoRR, 2015

Kernel Temporal Differences for Neural Decoding.
Comp. Int. and Neurosc., 2015

Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum].
IEEE Comp. Int. Mag., 2015

Functional Connectivity in Frequency-Tagged Cortical Networks During Active Harm Avoidance.
Brain Connectivity, 2015

Repairing lesions via kernel adaptive inverse control in a biomimetic model of sensorimotor cortex.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Pulse based signal processing for systolic peak recognition.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

A model based approach to exploration of continuous-state MDPs using Divergence-to-Go.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

A switch kernel width method of correntropy for channel estimation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A variable step-size adaptive algorithm under maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Mixed generative and supervised learning modes in Deep Predictive Coding Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Parallel flow in Deep Predictive Coding Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Effective insect recognition using a stacked autoencoder with maximum correntropy criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Directed generalized measure of association: A data driven approach towards causal inference.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Linear discriminant analysis with an information divergence criterion.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

On initial convergence behavior of the kernel least mean square algorithm.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Exponential C-Loss for data fitting.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Group feature selection in image classification with multiple kernel learning.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Cognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

An adaptive kernel width update method of correntropy for channel estimation.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Learning joint features for color and depth images with Convolutional Neural Networks for object classification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sparsity aware minimum error entropy algorithms.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Explicit versus implicit source estimation for blind multiple input single output system identification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Long-term scalp epileptic EEG quantification with GMA dynamics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS.
IEEE Trans. Signal Processing, 2014

Integrate and Fire Pulse Train Automaton for QRS detection.
IEEE Trans. Biomed. Engineering, 2014

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion.
IEEE Signal Process. Lett., 2014

The C-loss function for pattern classification.
Pattern Recognition, 2014

Cognitive Architectures for Sensory Processing.
Proceedings of the IEEE, 2014

On the Importance of Synergisms Between Neuroscience and Engineering [Further Thoughts].
Proceedings of the IEEE, 2014

Information Theoretic Shape Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

On the optimization properties of the correntropic loss function in data analysis.
Optimization Letters, 2014

Neural Decoding with Kernel-Based Metric Learning.
Neural Computation, 2014

Learning dependence from samples.
IJBRA, 2014

Cyborg Intelligence: Towards Bio-Machine Intelligent Systems.
IEEE Intelligent Systems, 2014

An Extended Result on the Optimal Estimation Under the Minimum Error Entropy Criterion.
Entropy, 2014

A Note on the W-S Lower Bound of the MEE Estimation.
Entropy, 2014

A Novel, Fully Automated Pipeline for Period Estimation in the EROS 2 Data Set.
CoRR, 2014

Rate-Distortion Auto-Encoders.
Proceedings of the 2nd International Conference on Learning Representations, 2014

An Extended Result on the Optimal Estimation under Minimum Error Entropy Criterion.
CoRR, 2014

Kernel Least Mean Square with Adaptive Kernel Size.
CoRR, 2014

A Tensor-Product-Kernel Framework for Multiscale Neural Activity Decoding and Control.
Comp. Int. and Neurosc., 2014

2014 IEEE CIS Awards [Society Briefs].
IEEE Comp. Int. Mag., 2014

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases.
IEEE Comp. Int. Mag., 2014

Computational intelligence in control.
Annual Reviews in Control, 2014

An asymmetric stagewise least square loss function for imbalanced classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Quantized mixture kernel least mean square.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hierarchical Linear Dynamical Systems: A new model for clustering of time series.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Trimmed affine projection algorithms.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Pitch estimation using non-negative matrix factorization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Correntropy kernel temporal differences for reinforcement learning brain machine interfaces.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online Nonlinear Granger Causality Detection by Quantized Kernel Least Mean Square.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Clustering of time series using a hierarchical linear dynamical system.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration.
Proceedings of the IEEE International Conference on Acoustics, 2014

Feature selection based on survival Cauchy-Schwartz mutual information.
Proceedings of the IEEE International Conference on Acoustics, 2014

Dynamic sparse coding with smoothing proximal gradient method.
Proceedings of the IEEE International Conference on Acoustics, 2014

Projentropy: Using entropy to optimize spatial projections.
Proceedings of the IEEE International Conference on Acoustics, 2014

Functional relevant multichannel kernel adaptive filter for human activity analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

Joint optimization of algorithmic suites for EEG analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A reconfigurable parallel acceleration platform for evaluation of permutation entropy.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Addressing low frequency movement artifacts in EEG signal recorded during center-out reaching tasks.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Classification of hand movement direction based on EEG high-gamma activity.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Quantized Kernel Recursive Least Squares Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2013

Guest Editorial: Brain/neuronal - Computer game interfaces and interaction.
IEEE Trans. Comput. Intellig. and AI in Games, 2013

Kernel Methods on Spike Train Space for Neuroscience: A Tutorial.
IEEE Signal Process. Mag., 2013

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors].
IEEE Signal Process. Mag., 2013

Invexity of the Minimum Error Entropy Criterion.
IEEE Signal Process. Lett., 2013

Fixed budget quantized kernel least-mean-square algorithm.
Signal Processing, 2013

Kernel minimum error entropy algorithm.
Neurocomputing, 2013

The Convergence of Machine and Biological Intelligence.
IEEE Intelligent Systems, 2013

A Novel Nonparametric Distance Estimator for Densities with Error Bounds.
Entropy, 2013

Information Theoretic Learning with Infinitely Divisible Kernels
Proceedings of the 1st International Conference on Learning Representations, 2013

Deep Predictive Coding Networks
Proceedings of the 1st International Conference on Learning Representations, 2013

Analysis on extended kernel recursive least squares algorithm.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Mixture kernel least mean square.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Kernel adaptive filtering with confidence intervals.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A parameter-free kernel design based on cumulative distribution function for correntropy.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Diffusion least-mean squares over adaptive networks with dynamic topologies.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Survival kernel with application to kernel adaptive filtering.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A fast proximal method for convolutional sparse coding.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Kernel recurrent system trained by real-time recurrent learning algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

A greedy algorithm for model selection of tensor decompositions.
Proceedings of the IEEE International Conference on Acoustics, 2013

An adaptive duty-cycle methodology for PV power maximization using a single variable.
Proceedings of Eurocon 2013, 2013

Quantifying cognitive state from EEG using phase synchrony.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Functional dependence in the human brain: A graph theoretical analysis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Information-theoretic metric learning: 2-D linear projections of neural data for visualization.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A new method of concurrently visualizing states, values, and actions in reinforcement based brain machine interfaces.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A scalable RC architecture for mean-shift clustering.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves.
IEEE Trans. Signal Processing, 2012

Survival Information Potential: A New Criterion for Adaptive System Training.
IEEE Trans. Signal Processing, 2012

Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence.
IEEE Trans. Neural Netw. Learning Syst., 2012

Quantized Kernel Least Mean Square Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2012

Time-Based Compression and Classification of Heartbeats.
IEEE Trans. Biomed. Engineering, 2012

Quantifying Cognitive State From EEG Using Dependence Measures.
IEEE Trans. Biomed. Engineering, 2012

"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 3 [In the Spotlight].
IEEE Signal Process. Mag., 2012

Maximum Correntropy Estimation Is a Smoothed MAP Estimation.
IEEE Signal Process. Lett., 2012

Extraction of signals with higher order temporal structure using Correntropy.
Signal Processing, 2012

Mean square convergence analysis for kernel least mean square algorithm.
Signal Processing, 2012

A novel extended kernel recursive least squares algorithm.
Neural Networks, 2012

Conditional Association.
Neural Computation, 2012

Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences.
Neural Computation, 2012

Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution Model.
Journal of Circuits, Systems, and Computers, 2012

Locally linear embedding based on correntropy measure for visualization and classification.
Neurocomputing, 2012

On the Smoothed Minimum Error Entropy Criterion.
Entropy, 2012

Some Further Results on the Minimum Error Entropy Estimation.
Entropy, 2012

An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves
CoRR, 2012

Measures of Entropy from Data Using Infinitely Divisible Kernels
CoRR, 2012

Approximate reconstruction of bandlimited functions for the integrate and fire sampler.
Adv. Comput. Math., 2012

Temporal context in object recognition.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

An adaptive kernel width update for correntropy.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Kernel classifier with Correntropy loss.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Nearest Neighbor Distributions for imbalanced classification.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Online learning using a Bayesian surprise metric.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel size.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Online efficient learning with quantized KLMS and L1 regularization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Sequential causal estimation and learning from time-varying images.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Measure of Statistical Dependence.
Proceedings of the ICPRAM 2012, 2012

Data-driven tree-structured Bayesian network for image segmentation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Analyzing dependence structure of the human brain in response to visual stimuli.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Mixture of designer experts for multi-regime detection in streaming data.
Proceedings of the 20th European Signal Processing Conference, 2012

One-class classifier based on extreme value statistics.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Mutual information analysis on non-stationary neuron importance for brain machine interfaces.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Decoding stimuli from multi-source neural responses.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

An Association Framework to Analyze Dependence Structure in Time Series.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Locating spatial patterns of waveforms during sensory perception in scalp EEG.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Correntropy-based spectrum sensing for wireless microphones in man-made noise environments.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Advances in Brain Machine Interfaces.
Proceedings of the BIODEVICES 2012 - Proceedings of the International Conference on Biomedical Electronics and Devices, Vilamoura, Algarve, Portugal, 1, 2012

2011
A Unified Framework for Quadratic Measures of Independence.
IEEE Trans. Signal Processing, 2011

An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals.
IEEE Trans. Neural Networks, 2011

A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP Subcomponents.
IEEE Trans. Biomed. Engineering, 2011

"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 2.
IEEE Signal Process. Mag., 2011

"Trends" Expert Overview Sessions Revived at ICASSP 2011 [In the Spotlight].
IEEE Signal Process. Mag., 2011

Period Estimation in Astronomical Time Series Using Slotted Correntropy.
IEEE Signal Process. Lett., 2011

Information theoretic learning with adaptive kernels.
Signal Processing, 2011

A test of independence based on a generalized correlation function.
Signal Processing, 2011

Δ-Entropy: Definition, properties and applications in system identification with quantized data.
Inf. Sci., 2011

Period Estimation in Astronomical Time Series Using Slotted Correntropy
CoRR, 2011

Autocorrelation features for synthetic aperture sonar image seabed segmentation.
Proceedings of the IEEE International Conference on Systems, 2011

Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS).
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Irregular Tree-Structured Bayesian Network for image segmentation.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergence.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

A reproducing kernel Hilbert space formulation of the principle of relevant information.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Efficient temporal decomposition of local field potentials.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Stochastic kernel temporal difference for reinforcement learning.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

The integrate-and-fire sampler: A special type of asynchronous Σ - Δ modulator.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Integrate and fire circuit as an ADC replacement.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Extended Kalman filter using a kernel recursive least squares observer.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A nonparametric information theoretic approach for change detection in time series.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Kernel adaptive filtering with maximum correntropy criterion.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Evaluating dependence in spike train metric spaces.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Closed-form cauchy-schwarz PDF divergence for mixture of Gaussians.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Adaptive background estimation using an information theoretic cost for hidden state estimation.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Sparse analog associative memory via L1-regularization and thresholding.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

From compressive to adaptive sampling of neural and ECG recordings.
Proceedings of the IEEE International Conference on Acoustics, 2011

A metric approach toward point process divergence.
Proceedings of the IEEE International Conference on Acoustics, 2011

Estimation of symmetric chi-square divergence for point processes.
Proceedings of the IEEE International Conference on Acoustics, 2011

Modified embedding for multi-regime detection in nonstationary streaming data.
Proceedings of the IEEE International Conference on Acoustics, 2011

An efficient rank-deficient computation of the Principle of Relevant Information.
Proceedings of the IEEE International Conference on Acoustics, 2011

Information theory related learning.
Proceedings of the ESANN 2011, 2011

Statistical dependence measure for feature selection in microarray datasets.
Proceedings of the ESANN 2011, 2011

Robust EEG preprocessing for dependence-based condition discrimination.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Optimizing microstimulation using a reinforcement learning framework.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Reinforcement learning via kernel temporal difference.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A real-time reconstruction algorithm for the integrate and fire sampler.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Extraction of signals with specific temporal structure using kernel methods.
IEEE Trans. Signal Processing, 2010

Cooperative diversity of spectrum sensing for cognitive radio systems.
IEEE Trans. Signal Processing, 2010

Modulation Selection from a Battery Power Efficiency Perspective.
IEEE Trans. Communications, 2010

Information theoretic clustering.
Scholarpedia, 2010

A comparison of binless spike train measures.
Neural Computing and Applications, 2010

A novel family of non-parametric cumulative based divergences for point processes.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A loss function for classification based on a robust similarity metric.
Proceedings of the International Joint Conference on Neural Networks, 2010

Binary classification based on SVDD projection and nearest neighbors.
Proceedings of the International Joint Conference on Neural Networks, 2010

Period detection in light curves from astronomical objects using correntropy.
Proceedings of the International Joint Conference on Neural Networks, 2010

Self organizing maps with the correntropy induced metric.
Proceedings of the International Joint Conference on Neural Networks, 2010

Information theoretic learning applied to wind power modeling.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Test of Granger Non-causality Based on Nonparametric Conditional Independence.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Recursive Online Kernel PCA Algorithm.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Variable Selection: A Statistical Dependence Perspective.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Fixed-budget kernel recursive least-squares.
Proceedings of the IEEE International Conference on Acoustics, 2010

A closed form recursive solution for Maximum Correntropy training.
Proceedings of the IEEE International Conference on Acoustics, 2010

Kernel width adaptation in information theoretic cost functions.
Proceedings of the IEEE International Conference on Acoustics, 2010

A conditional distribution function based approach to design nonparametric tests of independence and conditional independence.
Proceedings of the IEEE International Conference on Acoustics, 2010

Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures.
Proceedings of the IEEE International Conference on Acoustics, 2010

Dynamic factor graphs: A novel framework for multiple features data fusion.
Proceedings of the IEEE International Conference on Acoustics, 2010

Linear Projection Method Based on Information Theoretic Learning.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Neuro-Fuzzy Classification Using the Correntropy Criterion: Application to Sleep Depth Estimation.
Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

Information Theoretic fuzzy modeling for regression.
Proceedings of the FUZZ-IEEE 2010, 2010

Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces.
Proceedings of the Information Theoretic Learning, 2010

2009
Information Theoretic Learning.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Extended kernel recursive least squares algorithm.
IEEE Trans. Signal Processing, 2009

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters.
IEEE Trans. Neural Networks, 2009

Theories, Analysis, and Bounds of the Finite-Support Approximation for the Inverses of Mixing-Phase FIR Systems.
IEEE Trans. on Circuits and Systems, 2009

A Spatiotemporal Filtering Methodology for Single-Trial ERP Component Estimation.
IEEE Trans. Biomed. Engineering, 2009

Coadaptive Brain-Machine Interface via Reinforcement Learning.
IEEE Trans. Biomed. Engineering, 2009

A low complexity robust detector in impulsive noise.
Signal Processing, 2009

Kernel least mean square algorithm with constrained growth.
Signal Processing, 2009

Correntropy as a novel measure for nonlinearity tests.
Signal Processing, 2009

Mean shift: An information theoretic perspective.
Pattern Recognition Letters, 2009

The correntropy MACE filter.
Pattern Recognition, 2009

Ascertaining neuron importance by information theoretical analysis in motor Brain-Machine Interfaces.
Neural Networks, 2009

Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants.
Neural Networks, 2009

Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: Motor control features.
Neural Networks, 2009

Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces.
Neural Computation, 2009

A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing.
Neural Computation, 2009

Statistical Signal Processing in Neuroscience.
EURASIP J. Adv. Sig. Proc., 2009

Spatial-Temporal Clustering of Neural Data Using Linked-Mixtures of Hidden Markov Models.
EURASIP J. Adv. Sig. Proc., 2009

Liquid state machines and cultured cortical networks: The separation property.
Biosystems, 2009

Cooperative diversity of spectrum sensing in cognitive radio networks.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Modulation selection from a battery power efficiency perspective: a case study of PPM and OOK.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

Prerequesites for Symbiotic Brain-Machine Interfaces.
Proceedings of the IEEE International Conference on Systems, 2009

Correntropy Based Matched Filtering for Classification in Sidescan Sonar Imagery.
Proceedings of the IEEE International Conference on Systems, 2009

A Biphasic Integrate-and-fire System.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2009

Using Correntropy as a cost function in linear adaptive filters.
Proceedings of the International Joint Conference on Neural Networks, 2009

On speeding up computation in information theoretic learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

A new nonparametric measure of conditional independence.
Proceedings of the IEEE International Conference on Acoustics, 2009

Hierarchical clustering of neural data using Linked-Mixtures of Hidden Markov Models for Brain Machine Interfaces.
Proceedings of the IEEE International Conference on Acoustics, 2009

Development of Symbiotic Brain-Machine Interfaces Using a Neurophysiology Cyberworkstation.
Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009

2008
Robust switching blind equalizer for wireless cognitive receivers.
IEEE Trans. Wireless Communications, 2008

A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning.
IEEE Trans. Signal Processing, 2008

The Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Processing, 2008

A Pitch Detector Based on a Generalized Correlation Function.
IEEE Trans. Audio, Speech & Language Processing, 2008

Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK.
Signal Processing, 2008

A new nonlinear similarity measure for multichannel signals.
Neural Networks, 2008

Enhancing the correntropy MACE filter with random projections.
Neurocomputing, 2008

Kernel Affine Projection Algorithms.
EURASIP J. Adv. Sig. Proc., 2008

Boosted and Linked Mixtures of HMMs for Brain-Machine Interfaces.
EURASIP J. Adv. Sig. Proc., 2008

Real time signal reconstruction from spikes on a digital signal processor.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Pulse-based signal compression for implanted neural recording systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

The wellposedness analysis of the kernel adaline.
Proceedings of the International Joint Conference on Neural Networks, 2008

Compressed signal reconstruction using the correntropy induced metric.
Proceedings of the IEEE International Conference on Acoustics, 2008

Correntropy based Granger causality.
Proceedings of the IEEE International Conference on Acoustics, 2008

Reproducing kernel Hilbert spaces for spike train analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Brain-Machine Interface Engineering
Synthesis Lectures on Biomedical Engineering, Morgan & Claypool Publishers, 2007

Correntropy: Properties and Applications in Non-Gaussian Signal Processing.
IEEE Trans. Signal Processing, 2007

The Laplacian Classifier.
IEEE Trans. Signal Processing, 2007

A unifying criterion for instantaneous blind source separation based on correntropy.
Signal Processing, 2007

A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS).
Signal Processing, 2007

Independent Component Analysis and Blind Source Separation.
Signal Processing, 2007

Information cut for clustering using a gradient descent approach.
Pattern Recognition, 2007

Real time input subset selection for linear time-variant MIMO systems.
Optimization Methods and Software, 2007

An associative memory readout for ESNs with applications to dynamical pattern recognition.
Neural Networks, 2007

Special issue on echo state networks and liquid state machines.
Neural Networks, 2007

Self-organizing maps with dynamic learning for signal reconstruction.
Neural Networks, 2007

Analysis and Design of Echo State Networks.
Neural Computation, 2007

Quasi-sliding mode control strategy based on multiple-linear models.
Neurocomputing, 2007

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography.
Comp. Int. and Neurosc., 2007

Florida Wireless Implantable Recording Electrodes (FWIRE) for Brain Machine Interfaces.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

A New Nonlinear Similarity Measure for Multichannel Biological Signals.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2007

Water Inflow Forecasting using the Echo State Network: a Brazilian Case Study.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Novel Weighted LBG Algorithm for Neural Spike Compression.
Proceedings of the International Joint Conference on Neural Networks, 2007

Information Theoretic Vector Quantization with Fixed Point Updates.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters.
Proceedings of the International Joint Conference on Neural Networks, 2007

Spectral Clustering of Synchronous Spike Trains.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Novel Switching Scheme Between Adaptive Information Algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Associative Memory Readout in ESN for Neural Action Potential Detection.
Proceedings of the International Joint Conference on Neural Networks, 2007

Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMI.
Proceedings of the International Joint Conference on Neural Networks, 2007

Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces.
Proceedings of the Computational Science, 2007

Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices.
Proceedings of the IEEE International Conference on Acoustics, 2007

Kernel LMS.
Proceedings of the IEEE International Conference on Acoustics, 2007

The Fast Correntropy Mace Filter.
Proceedings of the IEEE International Conference on Acoustics, 2007

A New Information Theoretic Measure of PDF Symmetry.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Some Equivalences between Kernel Methods and Information Theoretic Methods.
VLSI Signal Processing, 2006

Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis.
VLSI Signal Processing, 2006

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing.
VLSI Signal Processing, 2006

Generalized correlation function: definition, properties, and application to blind equalization.
IEEE Trans. Signal Processing, 2006

Experimental upper bound for the performance of convolutive source separation methods.
IEEE Trans. Signal Processing, 2006

Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map.
IEEE Trans. Neural Networks, 2006

Editorial.
IEEE Trans. Biomed. Engineering, 2006

Analysis of Biomedical Signals by the Lempel-Ziv Complexity: the Effect of Finite Data Size.
IEEE Trans. Biomed. Engineering, 2006

An analysis of entropy estimators for blind source separation.
Signal Processing, 2006

Feature Extraction Using Information-Theoretic Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels.
J. Franklin Institute, 2006

Using non-linear even functions for error minimization in adaptive filters.
Neurocomputing, 2006

Computation in a reduced KII network based on synchronization.
Int. J. Intell. Syst., 2006

An Adaptive Algorithm Based On The Sigmoidal Function.
Proceedings of the SBRN 2006, 2006

A low power battery management system for rechargeable wireless implantable electronics.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Asynchronous biphasic pulse signal coding and its CMOS realization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Nonlinear Component Analysis Based on Correntropy.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Monte Carlo Sequential Estimation for Point Process Optimum Filtering.
Proceedings of the International Joint Conference on Neural Networks, 2006

Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space.
Proceedings of the International Joint Conference on Neural Networks, 2006

Correntropy: A Localized Similarity Measure.
Proceedings of the International Joint Conference on Neural Networks, 2006

Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2006

Correntropy as a Novel Measure for Nonlinearity Tests.
Proceedings of the International Joint Conference on Neural Networks, 2006

Arm Motion Reconstruction via Feature Clustering in Joint Angle Space.
Proceedings of the International Joint Conference on Neural Networks, 2006

A New Architecture for Deriving Dynamic Brain-Machine Interfaces.
Proceedings of the Computational Science, 2006

An Explicit Construction Of A Reproducing Gaussian Kernel Hilbert Space.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Spike Sorting Using non Parametric Clustering VIA Cauchy Schwartz PDF Divergence.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Closed Form Solution for a Nonlinear Wiener Filter.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Kernel Based Synthetic Discriminant Function for Object Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Normalized Minimum Error Entropy Stochastic Algorithm.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Robust Blind Simo Channel Estimation Using Adatron.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Kernel Principal Components Are Maximum Entropy Projections.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Estimating the Information Potential with the Fast Gauss Transform.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Error whitening criterion for adaptive filtering: theory and algorithms.
IEEE Trans. Signal Processing, 2005

Stochastic blind equalization based on PDF fitting using Parzen estimator.
IEEE Trans. Signal Processing, 2005

Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response.
IEEE Trans. Neural Networks, 2005

Convolutive blind source separation by minimizing mutual information between segments of signals.
IEEE Trans. on Circuits and Systems, 2005

Quantifying spatio-temporal dependencies in epileptic ECOG.
Signal Processing, 2005

Information Theoretic Signal Processing.
Signal Processing, 2005

A mutual information extension to the matched filter.
Signal Processing, 2005

A new classifier based on information theoretic learning with unlabeled data.
Neural Networks, 2005

Vector quantization using information theoretic concepts.
Natural Computing, 2005

Fast error whitening algorithms for system identification and control with noisy data.
Neurocomputing, 2005

Simulation of Human Speech Production Applied to the Study and Synthesis of European Portuguese.
EURASIP J. Adv. Sig. Proc., 2005

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization.
EURASIP J. Adv. Sig. Proc., 2005

Local Linear PID Controllers for Nonlinear Control.
Control and Intelligent Systems, 2005

Information Theoretic Learning.
Proceedings of the Pattern Recognition in Information Systems, 2005

Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An information-theoretic perspective to kernel independent components analysis.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Learning mappings in brain machine interfaces with echo state networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

The Laplacian spectral classifier.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Supervised training of adaptive systems with partially labeled data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Robust matched filtering in the feature space.
Proceedings of the 13th European Signal Processing Conference, 2005

Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications.
VLSI Signal Processing, 2004

Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information.
VLSI Signal Processing, 2004

Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation.
IEEE Trans. Signal Processing, 2004

Dynamical analysis of neural oscillators in an olfactory cortex model.
IEEE Trans. Neural Networks, 2004

Feature selection in MLPs and SVMs based on maximum output information.
IEEE Trans. Neural Networks, 2004

Guest Editorial Special Issue on Information Theoretic Learning.
IEEE Trans. Neural Networks, 2004

Advanced search algorithms for information-theoretic learning with kernel-based estimators.
IEEE Trans. Neural Networks, 2004

Ascertaining the importance of neurons to develop better brain-machine interfaces.
IEEE Trans. Biomed. Engineering, 2004

Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat.
Signal Processing, 2004

Asymptotic SNR-performance of some image combination techniques for phased-array MRI.
Signal Processing, 2004

Minimax Mutual Information Approach for Independent Component Analysis.
Neural Computation, 2004

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation.
EURASIP J. Adv. Sig. Proc., 2004

The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Logic computation using coupled neural oscillators.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Minimizing Fisher information of the error in supervised adaptive filter training.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Accurate linear parameter estimation in colored noise.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Parzen particle filters.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Mixture of competitive linear models for phased-array magnetic resonance imaging.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Gaussianizing Transformations for ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training.
IEEE Trans. Signal Processing, 2003

Adaptive epileptic seizure prediction system.
IEEE Trans. Biomed. Engineering, 2003

Maximum margin equalizers trained with the Adatron algorithm.
Signal Processing, 2003

Stochastic error whitening algorithm for linear filter estimation with noisy data.
Neural Networks, 2003

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models.
Neural Networks, 2003

Fast error whitening algorithms for system identification and control.
Proceedings of the NNSP 2003, 2003

Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm.
Proceedings of the NNSP 2003, 2003

Information cut and information forces for clustering.
Proceedings of the NNSP 2003, 2003

SOM-based similarity index measure: quantifying interactions between multivariate structures.
Proceedings of the NNSP 2003, 2003

Local Hammerstein modeling based on self-organizing map.
Proceedings of the NNSP 2003, 2003

An algorithm based on the even moments of the error.
Proceedings of the NNSP 2003, 2003

Feasibility of Fixed-Point Transversal Adaptive Filters in FPGA Devices with Embedded DSP Blocks.
Proceedings of the 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications (IWSOC'03), 30 June, 2003

Design of a reduced KII set and network in analog VLSI.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Bimodal brain-machine interface for motor control of robotic prosthetic.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Image combination for high-field phased-array MRI.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Matched pdf-based blind equalization.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Echo cancellation by global optimization of Kautz filters using an information theoretic criterion.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A hybrid subspace projection method for system identification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

On the convergence of SIPEX: a simultaneous principal components extraction algorithm.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Linear Least-Squares Based Methods for Neural Networks Learning.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Accelerating the convergence speed of neural networks learning methods using least squares.
Proceedings of the ESANN 2003, 2003

Recursive Least Squares for an Entropy Regularized MSE Cost Function.
Proceedings of the ESANN 2003, 2003

Information Force Clustering Using Directed Trees.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002
Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm.
VLSI Signal Processing, 2002

Entropy minimization for supervised digital communications channel equalization.
IEEE Trans. Signal Processing, 2002

An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems.
IEEE Trans. Signal Processing, 2002

Guest editorial special issue on intelligent multimedia processing.
IEEE Trans. Neural Networks, 2002

Generalized information potential criterion for adaptive system training.
IEEE Trans. Neural Networks, 2002

Information Theoretic Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Principles and networks for self-organization in space-time.
Neural Networks, 2002

Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation.
Natural Computing, 2002

Blind source separation using Renyi's -marginal entropies.
Neurocomputing, 2002

Insights on the relationship between probability of misclassification and information transfer through classifiers.
Int. J. Comput. Syst. Signal, 2002

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection.
EURASIP J. Adv. Sig. Proc., 2002

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Efficient total least squares method for system modeling using minor component analysis.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Modified Kalman filter based method for training state-recurrent multilayer perceptrons.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

A recursive Renyi's entropy estimator.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Do Hebbian synapses estimate entropy?
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Underdetermined blind source separation in a time-varying environment.
Proceedings of the IEEE International Conference on Acoustics, 2002

Fast algorithm for adaptive blind equalization using order-α Renyi's entropy.
Proceedings of the IEEE International Conference on Acoustics, 2002

Robust on-line Principal Component Analysis based on a fixed-point approach.
Proceedings of the IEEE International Conference on Acoustics, 2002

Blind source separation of time-varying instantaneous mixtures using an on-line algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2002

Simultaneous extraction of Principal Components using givens rotations and output variances.
Proceedings of the IEEE International Conference on Acoustics, 2002

Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks.
Proceedings of the Artificial Neural Networks, 2002

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems.
Proceedings of the Artificial Neural Networks, 2002

Estimation of the mixing matrix for underdetermined blind source separation using spectral estimation techniques.
Proceedings of the 11th European Signal Processing Conference, 2002

Adaptive blind equalization through quadratic pdf matching.
Proceedings of the 11th European Signal Processing Conference, 2002

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G.
Proceedings of the 11th European Signal Processing Conference, 2002

Blind deconvolution with minimum Renyi's entropy.
Proceedings of the 11th European Signal Processing Conference, 2002

Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Editorial.
IEEE Trans. Biomed. Engineering, 2001

Dynamic Vector Quantization Of Speech.
Proceedings of the Advances in Self-Organising Maps, 2001

Optimization in companion search spaces: the case of cross-entropy and the Levenberg-Marquardt algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Learning from Examples with Information Theoretic Criteria.
VLSI Signal Processing, 2000

Special topic section on advances in statistical signal processing for medicine.
IEEE Trans. Biomed. Engineering, 2000

A silicon olfactory bulb oscillator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

On the Use of Neural Networks in the Generalized Likelihood Ratio Test for Detecting Abrupt Changes in Signals.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A new clustering evaluation function using Renyi's information potential.
Proceedings of the IEEE International Conference on Acoustics, 2000

On the relationship between the Karhunen-Loeve transform and the prolate spheroidal wave functions.
Proceedings of the IEEE International Conference on Acoustics, 2000

Dynamic subgrouping in RTRL provides a faster O(N2) algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2000

Multiresolution using principal component analysis.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Training neural networks with additive noise in the desired signal.
IEEE Trans. Neural Networks, 1999

Super-resolution of images based on local correlations.
IEEE Trans. Neural Networks, 1999

Modeling the precedence effect for speech using the gamma filter.
Neural Networks, 1999

Effects of source-tract interaction in perception of nasality.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Improving ATR performance by incorporating virtual negative examples.
Proceedings of the International Joint Conference Neural Networks, 1999

Training MLPs layer-by-layer with the information potential.
Proceedings of the International Joint Conference Neural Networks, 1999

Loss function for blind source separation-minimum entropy criterion and its generalized anti-Hebbian rules.
Proceedings of the International Joint Conference Neural Networks, 1999

An introduction to information theoretic learning.
Proceedings of the International Joint Conference Neural Networks, 1999

Blind separation of convolutive mixtures.
Proceedings of the International Joint Conference Neural Networks, 1999

Generalized anti-Hebbian learning for source separation.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Competitive principal component analysis for locally stationary time series.
IEEE Trans. Signal Processing, 1998

Comments on "Sinc interpolation of discrete periodic signals".
IEEE Trans. Signal Processing, 1998

Target discrimination in synthetic aperture radar using artificial neural networks.
IEEE Trans. Image Processing, 1998

A Neuromorphic Monaural Sound Localizer.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

A novel measure for independent component analysis (ICA).
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Exploring the time-frequency microstructure of speech for blind source separation.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

An interactive learning environment for adaptive systems instruction.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
A software tool to study portuguese vowels.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

Adaptive target detection in UWB images using Laguerre network.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Speaker verification and identification using gamma neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Analog hardware implementation of adaptive filter structures.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

A neural implementation of interpolation with a family of kernels.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Generalized Oja's rule for linear discriminant analysis with Fisher criterion.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Temporal self-organization through competitive prediction.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Incremental backpropagation learning networks.
IEEE Trans. Neural Networks, 1996

Crosscorrelation estimation using teacher forcing Hebbian learning and its application.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Speech classification using a modified focused gamma network.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Artificial neural networks with gamma kernels for automatic target detection.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Context analysis by the gamma neural network.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

A neighborhood map of competing one step predictors for piecewise segmentation and identification of time series.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Spatio-temporal self-organizing feature maps.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Analysis of the time-frequency representation using the Gamma filter.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Parametric least squares approximation using gamma bases.
IEEE Trans. Signal Processing, 1995

Adaptive WRLS-VFF for speech analysis.
IEEE Trans. Speech and Audio Processing, 1995

A nonlinear extension of the MACE filter.
Neural Networks, 1995

A relation between Hebbian and MSE learning.
Proceedings of the 1995 International Conference on Acoustics, 1995

Magnitude spectral estimation via Poisson moments with application to speech recognition.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
An analysis of the gamma memory in dynamic neural networks.
IEEE Trans. Neural Networks, 1994

Dynamic Modelling of Chaotic Time Series with Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Noise reduction in state space using the focused gamma neural network.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Echo cancellation with the gamma filter.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
The gamma-filter-a new class of adaptive IIR filters with restricted feedback.
IEEE Trans. Signal Processing, 1993

A Markov Chain Framework for the Simple Genetic Algorithm.
Evolutionary Computation, 1993

Analysis of Short Term Memories for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
The gamma model--A new neural model for temporal processing.
Neural Networks, 1992

Transient Signal Detection with Neural Networks: The Search for the Desired Signal.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Modeling Applications with the Focused Gamma Net.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

A Simulated Annealing Like Convergence Theory for the Simple Genetic Algorithm.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
A Theory for Neural Networks with Time Delays.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Chaotic dynamics of time-delay neural networks.
Proceedings of the IJCNN 1990, 1990

Neural network classification of event related potentials for the design of a new computer interface.
Proceedings of the IJCNN 1990, 1990

1989
A knowledge-based supervision model for machine tools.
Proceedings of the 13th Annual International Computer Software and Applications Conference, 1989


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