Seungjin Choi

According to our database1, Seungjin Choi authored at least 204 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
The latent learning model to derive semantic relations of words from unstructured text data in social media.
Multim. Tools Appl., 2019

Discrete Infomax Codes for Meta-Learning.
CoRR, 2019

Bayesian Optimization over Sets.
CoRR, 2019

Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization.
CoRR, 2019

MxML: Mixture of Meta-Learners for Few-Shot Classification.
CoRR, 2019

On Local Optimizers of Acquisition Functions in Bayesian Optimization.
CoRR, 2019

Novel MIMO Detection With Improved Complexity for Near-ML Detection in MIMO-OFDM Systems.
IEEE Access, 2019

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Forward-Backward Generative Adversarial Networks for Anomaly Detection.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Sparse Circulant Binary Embedding: An Asymptotic Analysis.
IEEE Signal Process. Lett., 2018

Word embedding-based relation modeling in a heterogeneous information network.
Multim. Tools Appl., 2018

Selectively Iterative Detection Scheme Based on the Residual Power in MIMO-OFDM.
IEICE Trans. Commun., 2018

Set Transformer.
CoRR, 2018

Meta-Learning with Adaptive Layerwise Metric and Subspace.
CoRR, 2018

Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace.
Proceedings of the 35th International Conference on Machine Learning, 2018

Clustering-Guided Gp-Ucb for Bayesian Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

On the Optimal Bit Complexity of Circulant Binary Embedding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Adaptive <i>K</i>-Best BFTS Signal Detection Algorithm Based on the Channel Condition for MIMO-OFDM Signal Detector.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Lattice-Reduction Aided Signal Detection Method with Switching Detection Based on Channel Condition.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017

Learning to Transfer Initializations for Bayesian Hyperparameter Optimization.
CoRR, 2017

Chrological Big data Curation: A Study on the Enhanced Information Retrieval System.
IEEE Access, 2017

Bayesian inference on random simple graphs with power law degree distributions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Binary Embedding with Additive Homogeneous Kernels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Prediction and Predictability for Search Query Acceleration.
ACM Trans. Web, 2016

A robust ensemble-based trust and reputation system against different types of intruder attacks.
Int. J. Comput. Math., 2016

Gaussian Copula Variational Autoencoders for Mixed Data.
CoRR, 2016

Frequency detection for SSVEP-based BCI using deep canonical correlation analysis.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Echo-state conditional variational autoencoder for anomaly detection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Two-dimensional correlated topic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Supervised Learning.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Independent Component Analysis.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Subspace clustering of data streams: new algorithms and effective evaluation measures.
J. Intell. Inf. Syst., 2015

Regularized discriminant embedding for visual descriptor learning.
Neurocomputing, 2015

Delayed-Dynamic-Selective (DDS) Prediction for Reducing Extreme Tail Latency in Web Search.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Near Duplicate Image Discovery on One Billion Images.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Pseudo-Supervised Latent Dirichlet Allocation for Image Annotation.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Multi-modal Convolutional Neural Networks for Activity Recognition.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Immersive BCI with SSVEP in VR head-mounted display.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Bilinear random projections for locality-sensitive binary codes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
GOM-Face: GKP, EOG, and EMG-Based Multimodal Interface With Application to Humanoid Robot Control.
IEEE Trans. Biomed. Engineering, 2014

Label propagation through minimax paths for scalable semi-supervised learning.
Pattern Recognit. Lett., 2014

Bayesian common spatial patterns for multi-subject EEG classification.
Neural Networks, 2014

TEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information.
Bioinform., 2014

Inference of dynamic networks using time-course data.
Briefings Bioinform., 2014

Language-related glossokinetic potentials on scalp.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Convex Optimization for Binary Classifier Aggregation in Multiclass Problems.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Bayesian binomial mixture model for collaborative prediction with non-random missing data.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Learning features with structure-adapting multi-view exponential family harmoniums.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Dependent stotchastic blockmodels.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Semi-supervised Learning on Bi-relational Graph for Image Annotation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Supervised multi-modal topic model for image annotation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Incremental Tree-Based Inference with Dependent Normalized Random Measures.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Scalable Variational Bayesian Matrix Factorization with Side Information.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization.
IEEE Signal Process. Lett., 2013

Max-margin embedding for multi-label learning.
Pattern Recognit. Lett., 2013

Parameter Learning for Alpha Integration.
Neural Computation, 2013

The Method of Personalized Recommendation with Ensemble Combination.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2013

Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums
Proceedings of the 1st International Conference on Learning Representations, 2013

Effective Evaluation Measures for Subspace Clustering of Data Streams.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

Hierarchical Bayesian Matrix Factorization with Side Information.
Proceedings of the IJCAI 2013, 2013

The Method of Trust and Reputation Systems Based on Link Prediction and Clustering.
Proceedings of the Trust Management VII - 7th IFIP WG 11.11 International Conference, 2013

Brand-Centric Recommendation with Inter-brand Similarities.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Stacked Denoising Autoencoders for Face Pose Normalization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Online multi-label learning with accelerated nonsmooth stochastic gradient descent.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multi-view anchor graph hashing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Bayesian multi-subject common spatial patterns with Indian Buffet process priors.
Proceedings of the IEEE International Conference on Acoustics, 2013

Robust part-based face matching with multiple templates.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Common spatial patterns for steady-state somatosensory evoked potentials.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Walking on Minimax Paths for k-NN Search.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Independent Component Analysis.
Proceedings of the Handbook of Natural Computing, 2012

Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface.
IEEE Trans. Biomed. Engineering, 2012

Self-labeling for P300 detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Hashing with Generalized Nyström Approximation.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Deep Learning to Hash with Multiple Representations.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Hierarchical variational Bayesian matrix co-factorization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Bayesian common spatial patterns with Pitman-Yor process priors.
Proceedings of the 20th European Signal Processing Conference, 2012

Online Video Segmentation by Bayesian Split-Merge Clustering.
Proceedings of the Computer Vision - ECCV 2012, 2012

Sequential Spectral Learning to Hash with Multiple Representations.
Proceedings of the Computer Vision - ECCV 2012, 2012

Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Probabilistic Models for Semisupervised Discriminative Motif Discovery in DNA Sequences.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Manifold-respecting discriminant nonnegative matrix factorization.
Pattern Recognit. Lett., 2011

Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation.
IEEE J. Sel. Top. Signal Process., 2011

Principal network analysis: identification of subnetworks representing major dynamics using gene expression data.
Bioinform., 2011

Bayesian Multi-task Learning for Common Spatial Patterns.
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011

Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Restricted Deep Belief Networks for Multi-view Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Patch-based Markov random fields for fast face occlusion recovery.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Matrix Co-Factorization on Compressed Sensing.
Proceedings of the IJCAI 2011, 2011

Nyström Approximations for Scalable Face Recognition: A Comparative Study.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Semi-supervised Discriminant Hashing.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Geometric programming for aggregation of binary classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multiple kernel nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Semi-Supervised Nonnegative Matrix Factorization.
IEEE Signal Process. Lett., 2010

Hierarchical Gaussian Process Regression.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Nonnegative Matrix Factorization with Orthogonality Constraints.
JCSE, 2010

Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds.
Inf. Process. Manag., 2010

Mind Flipper: An EEG-Based Brain Computer Interface for Page-Turning During Presentation.
Aust. J. Intell. Inf. Process. Syst., 2010

Manifold Alpha-Integration.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Bayesian Aggregation of Binary Classifiers.
Proceedings of the ICDM 2010, 2010

Nonnegative matrix partial co-factorization for drum source separation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Blind rhythmic source separation: Nonnegativity and repeatability.
Proceedings of the IEEE International Conference on Acoustics, 2010

Alpha-integration of multiple evidence.
Proceedings of the IEEE International Conference on Acoustics, 2010

Learning alpha-integration with partially-labeled data.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Supervised Learning.
Proceedings of the Encyclopedia of Biometrics, 2009

Independent Component Analysis.
Proceedings of the Encyclopedia of Biometrics, 2009

Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction.
IEEE Trans. Consumer Electron., 2009

Composite Common Spatial Pattern for Subject-to-Subject Transfer.
IEEE Signal Process. Lett., 2009

Landmark MDS ensemble.
Pattern Recognit., 2009

Clustering with r-regular graphs.
Pattern Recognit., 2009

Group Nonnegative Matrix Factorization for EEG Classification.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Kernel nonnegative matrix factorization for spectral EEG feature extraction.
Neurocomputing, 2009

Incremental learning to rank with partially-labeled data.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

Clustering sequence sets for motif discovery.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Probabilistic Combination of Multiple Evidence.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Probabilistic matrix tri-factorization.
Proceedings of the IEEE International Conference on Acoustics, 2009

Target speech extractionwith learned spectral bases.
Proceedings of the IEEE International Conference on Acoustics, 2009

Ensembles of landmark multidimensional scalings.
Proceedings of the IEEE International Conference on Acoustics, 2009

Weighted nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2009

Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction.
Proceedings of the Advances in Machine Learning, 2009

2008
Non-negative matrix factorization with alpha-divergence.
Pattern Recognit. Lett., 2008

A constrained sequential EM algorithm for speech enhancement.
Neural Networks, 2008

Independent arrays or independent time courses for gene expression time series data analysis.
Neurocomputing, 2008

Noninvasive BCIs: Multiway Signal-Processing Array Decompositions.
IEEE Computer, 2008

Gaussian process regression for voice activity detection and speech enhancement.
Proceedings of the International Joint Conference on Neural Networks, 2008

CUR+NMF for learning spectral features from large data matrix.
Proceedings of the International Joint Conference on Neural Networks, 2008

Algorithms for orthogonal nonnegative matrix factorization.
Proceedings of the International Joint Conference on Neural Networks, 2008

Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Kernel oriented discriminant analysis for speaker-independent phoneme spaces.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Gaussian processes for source separation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Nonnegative Tucker decomposition with alpha-divergence.
Proceedings of the IEEE International Conference on Acoustics, 2008

Manifold Integration with Markov Random Walks.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
A Clinical Application of Ensemble ICA to the Quantification of Myocardial Blood Flow in Dynamic <i>H</i><sup>15</sup><sub>2</sub> <i>O</i> H^{{15}}_{2} O PET.
J. VLSI Signal Process., 2007

Two-Dimensional Canonical Correlation Analysis.
IEEE Signal Process. Lett., 2007

Robust kernel Isomap.
Pattern Recognit., 2007

A relative trust-region algorithm for independent component analysis.
Neurocomputing, 2007

Learning principal directions: Integrated-squared-error minimization.
Neurocomputing, 2007

Nonnegative Tensor Factorization for Continuous EEG Classification.
Int. J. Neural Syst., 2007

Wake-Sleep PCA.
Proceedings of the International Joint Conference on Neural Networks, 2007

Dynamically Weighted Hidden Markov Model for Spam Deobfuscation.
Proceedings of the IJCAI 2007, 2007

Neighbor search with global geometry: a minimax message passing algorithm.
Proceedings of the Machine Learning, 2007

Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition.
Proceedings of the Advances in Biometrics, International Conference, 2007

Soft Geodesic Kernel K-Means.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Method of Initialization for Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2007

Non-Negative Tensor Factorization using Alpha and Beta Divergences.
Proceedings of the IEEE International Conference on Acoustics, 2007

Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Source Separation with Gaussian Process Models.
Proceedings of the Machine Learning: ECML 2007, 2007

Nonnegative Tucker Decomposition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition.
Pattern Recognit. Lett., 2006

Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine.
Pattern Recognit. Lett., 2006

Semidefinite spectral clustering.
Pattern Recognit., 2006

Sequence-driven features for prediction of subcellular localization of proteins.
Pattern Recognit., 2006

Constrained Projection Approximation Algorithms for Principal Component Analysis.
Neural Process. Lett., 2006

Differential learning algorithms for decorrelation and independent component analysis.
Neural Networks, 2006

Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement.
Proceedings of the International Joint Conference on Neural Networks, 2006

Relative Gradient Learning for Independent Subspace Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2006

ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Iterative Projection Approximation Algorithms for PCA.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Nonnegative Matrix Factorization for Motor Imagery EEG Classification.
Proceedings of the Artificial Neural Networks, 2006

Tree-Dependent Components of Gene Expression Data for Clustering.
Proceedings of the Artificial Neural Networks, 2006

Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Topographic Independent Component Analysis of Gene Expression Time Series Data.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Maximum within-cluster association.
Pattern Recognit. Lett., 2005

Nonnegative features of spectro-temporal sounds for classification.
Pattern Recognit. Lett., 2005

Independent arrays or independent time courses for gene expression time series.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Relative trust region learning for ICA.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

On Spectral Basis Selection for Single Channel Polyphonic Music Separation.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

On Variations of Power Iteration.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models.
Proceedings of the Machine Learning: ECML 2005, 2005

Independent Subspaces of Gene Expression Data.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
Sequential EM learning for subspace analysis.
Pattern Recognit. Lett., 2004

Learning nonnegative features of spectro-temporal sounds for classification.
Proceedings of the INTERSPEECH 2004, 2004

A multiplicative up-propagation algorithm.
Proceedings of the Machine Learning, 2004

A new way of PCA: integrated-squared-error and EM algorithms.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
ICA+OPCA for artifact-robust classification of EEG data.
Proceedings of the NNSP 2003, 2003

PCA+HMM+SVM for EEG pattern classification.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Differential learning and random walk model.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Differential ICA.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Second Order Nonstationary Source Separation.
J. VLSI Signal Process., 2002

Equivariant nonstationary source separation.
Neural Networks, 2002

Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network.
Neurocomputing, 2002

Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Adaptive Differential Decorrelation: A Natural Gradient Algorithm.
Proceedings of the Artificial Neural Networks, 2002

2001
Correlation matching approach to source separation in the presence of spatially correlated noise.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

2000
Flexible Independent Component Analysis.
J. VLSI Signal Process., 2000

Local stability analysis of flexible independent component analysis algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2000

Factorial Code Representation of Faces for Recognition.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment.
J. Commun. Networks, 1999

Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals.
Neural Process. Lett., 1998

1997
Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

Natural Gradient Learning Algorithms for Decorrelation.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria.
Proceedings of the ESANN 1997, 1997


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