Sun-Yuan Kung

Affiliations:
  • Princeton University, USA


According to our database1, Sun-Yuan Kung authored at least 318 papers between 1981 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 1988, "For contributions to very-large-scale-integrated arrays for signal processing.".

Timeline

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Bibliography

2024
Geometric Variation Adaptive Network for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Weakly-supervised content-based video moment retrieval using low-rank video representation.
Knowl. Based Syst., October, 2023

BAWGNet: Boundary aware wavelet guided network for the nuclei segmentation in histopathology images.
Comput. Biol. Medicine, October, 2023

Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

Semi-Supervised Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis.
J. Signal Process. Syst., January, 2023

Semantic Relevance Learning for Video-Query Based Video Moment Retrieval.
IEEE Trans. Multim., 2023

Progressive Learning for Unsupervised Change Detection on Aerial Images.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
SRODNet: Object Detection Network Based on Super Resolution for Autonomous Vehicles.
Remote. Sens., December, 2022

XNAS: A Regressive/Progressive NAS for Deep Learning.
ACM Trans. Sens. Networks, November, 2022

Exploiting Operation Importance for Differentiable Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst., 2022

Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking.
IEEE Trans. Cybern., 2022

MILAN: Masked Image Pretraining on Language Assisted Representation.
CoRR, 2022

Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Class-Discriminative CNN Compression.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multi-Dimensional Model Compression of Vision Transformer.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Evolving transferable neural pruning functions.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

3D-FM GAN: Towards 3D-Controllable Face Manipulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

CHEX: CHannel EXploration for CNN Model Compression.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Temporal Action Localization Using Long Short-Term Dependency.
IEEE Trans. Multim., 2021

Adversarial Learning for Multiscale Crowd Counting Under Complex Scenes.
IEEE Trans. Cybern., 2021

CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans.
IEEE Trans. Artif. Intell., 2021

Guest editorial: Special issue on next generation AI approaches for intelligent internet of things.
J. Syst. Archit., 2021

Image super-resolution based on dense convolutional auto-encoder blocks.
Neurocomputing, 2021

Shape autotuning activation function.
Expert Syst. Appl., 2021

Evolving Transferable Pruning Functions.
CoRR, 2021

A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network.
CoRR, 2021

Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Meta-Learning with Attention for Improved Few-Shot Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Content-Aware GAN Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Parameter Efficient Dynamic Convolution via Tensor Decomposition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Recent Collaborative R&D in Medical Imaging in Asia.
J. Signal Process. Syst., 2020

Adaptive Irregular Graph Construction-Based Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Cross-Layer Network Lifetime Maximization in Underwater Wireless Sensor Networks.
IEEE Syst. J., 2020

Special issue on 'smart computing and communication' in International Journal of Parallel, Emergent and Distributed Systems.
Int. J. Parallel Emergent Distributed Syst., 2020

Intelligent security and optimization in Edge/Fog Computing.
Future Gener. Comput. Syst., 2020

A Feature-map Discriminant Perspective for Pruning Deep Neural Networks.
CoRR, 2020

Rethinking Class-Discrimination Based CNN Channel Pruning.
CoRR, 2020

Soft-Root-Sign Activation Function.
CoRR, 2020

Augment deep BP-parameter learning with local XAI-structural learning.
Commun. Inf. Syst., 2020

A Discriminant Information Approach to Deep Neural Network Pruning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hierarchically Aggregated Residual Transformation for Single Image Super Resolution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Exploring Highly Efficient Compact Neural Networks For Image Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

Efficient Image Super Resolution Via Channel Discriminative Deep Neural Network Pruning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Scalable Kernel Learning Via the Discriminant Information.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Editorial: IEEE Transactions on Sustainable Computing, Special Issue on Secure Sustainable Green Smart Computing.
IEEE Trans. Sustain. Comput., 2019

Editorial: IEEE Transactions on Sustainable Computing, Special Issue on Smart Data and Deep Learning in Sustainable Computing.
IEEE Trans. Sustain. Comput., 2019

Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection.
IEEE Trans. Neural Networks Learn. Syst., 2019

Salient Object Detection via Fuzzy Theory and Object-Level Enhancement.
IEEE Trans. Multim., 2019

Semi-Supervised Salient Object Detection Using a Linear Feedback Control System Model.
IEEE Trans. Cybern., 2019

Temporal Action Localization using Long Short-Term Dependency.
CoRR, 2019

Comb Convolution for Efficient Convolutional Architecture.
CoRR, 2019

HGC: Hierarchical Group Convolution for Highly Efficient Neural Network.
CoRR, 2019

A Kernel Discriminant Information Approach to Non-linear Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
CLAss-Specific Subspace Kernel Representations and Adaptive Margin Slack Minimization for Large Scale Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Guest Editor's Introduction to the Special Issue on Security and Privacy on Clouds.
IEEE Trans. Cloud Comput., 2018

Efficient Divide-and-Conquer Classification Based on Parallel Feature-Space Decomposition for Distributed Systems.
IEEE Syst. J., 2018

A Compressive Privacy approach to Generalized Information Bottleneck and Privacy Funnel problems.
J. Frankl. Inst., 2018

Supervising Nyström Methods via Negative Margin Support Vector Selection.
CoRR, 2018

Blurred Image Region Detection based on Stacked Auto-Encoder.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-scale Generative Adversarial Networks for Crowd Counting.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Super-resolution Imaging Based on Global Interpolation and Structural Similarities.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cross-Layer Design for Network Lifetime Maximization in Underwater Wireless Sensor Networks.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Outlier Removal for Enhancing Kernel-Based Classifier Via the Discriminant Information.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multi-Kernel, Deep Neural Network and Hybrid Models for Privacy Preserving Machine Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Hyperspectral and Multispectral Image Fusion Based on Local Low Rank and Coupled Spectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2017

Collaborative PCA/DCA Learning Methods for Compressive Privacy.
ACM Trans. Embed. Comput. Syst., 2017

Cost-Effective Kernel Ridge Regression Implementation for Keystroke-Based Active Authentication System.
IEEE Trans. Cybern., 2017

Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Compressive Privacy: From Information Estimation Theory to Machine Learning [Lecture Notes].
IEEE Signal Process. Mag., 2017

Discriminant component analysis for privacy protection and visualization of big data.
Multim. Tools Appl., 2017

Protecting Genomic Privacy by a Sequence-Similarity Based Obfuscation Method.
CoRR, 2017

Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning.
CoRR, 2017

Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection.
CoRR, 2017

FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms.
Bioinform., 2017

Differential mutual information forward search for multi-kernel discriminant-component selection with an application to privacy-preserving classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Semi-supervised saliency classifier based on a linear feedback control system model.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A compressive multi-kernel method for privacy-preserving machine learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Salient object detection via a linear feedback control system.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Privacy-preserving PCA on horizontally-partitioned data.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2017

2016
Profit Maximization through Online Advertising Scheduling for a Wireless Video Broadcast Network.
IEEE Trans. Mob. Comput., 2016

Erratum to: Large-scale image colorization based on divide-and-conquer support vector machines.
J. Supercomput., 2016

Support vector analysis of large-scale data based on kernels with iteratively increasing order.
J. Supercomput., 2016

Large-scale image colorization based on divide-and-conquer support vector machines.
J. Supercomput., 2016

Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins.
BMC Bioinform., 2016

Enhanced distance subset approximation using class-specific subspace kernel representation for kernel approximation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Data privacy protection by kernel subspace projection and generalized eigenvalue decomposition.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Discriminant-component eigenfaces for privacy-preserving face recognition.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Adaptive margin slack minimization in RKHS for classification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Profit Improvement in Wireless Video Broadcasting System: A Marginal Principle Approach.
IEEE Trans. Mob. Comput., 2015

Efficient Divide-And-Conquer Classification Based on Feature-Space Decomposition.
CoRR, 2015

Visualization of big data.
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2014
Multikernel Least Mean Square Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2014

Feature reduction based on Sum-Of-SNR (SOSNR) optimization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Cost-effective kernel ridge regression implementation for keystroke-based active authentication system.
Proceedings of the IEEE International Conference on Acoustics, 2014

Ensemble random projection for multi-label classification with application to protein subcellular localization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Multiclass Ridge-adjusted Slack Variable Optimization using selected basis for fast classification.
Proceedings of the 22nd European Signal Processing Conference, 2014

Image Restoration via Multi-prior Collaboration.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Systolic Arrays.
Proceedings of the Handbook of Signal Processing Systems, 2013

Capturing Cognitive Fingerprints from Keystroke Dynamics.
IT Prof., 2013

Ridge-adjusted Slack Variable Optimization for supervised classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Parameter design tradeoff between prediction performance and training time for Ridge-SVM.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Kernel SODA: A Feature Reduction Technique Using Kernel Based Analysis.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

A classification scheme for 'high-dimensional-small-sample-size' data using soda and ridge-SVM with microwave measurement applications.
Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive thresholding for multi-label SVM classification with application to protein subcellular localization prediction.
Proceedings of the IEEE International Conference on Acoustics, 2013

An ensemble classifier with random projection for predicting multi-label protein subcellular localization.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

From green computing to big-data learning: A kernel learning perspective.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
Low-energy Formulations of Support Vector Machine Kernel Functions for Biomedical Sensor Applications.
J. Signal Process. Syst., 2012

mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines.
BMC Bioinform., 2012

Perturbation regulated kernel regressors for supervised machine learning.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Color-frequency-orientation histogram based image retrieval.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

GOASVM: Protein subcellular localization prediction based on Gene ontology annotation and SVM.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Low-power SVM classifiers for sound event classification on mobile devices.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On efficient learning and classification kernel methods.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
PDA-SVM Hybrid: A Unified Model for Kernel-Based Supervised Classification.
J. Signal Process. Syst., 2011

Protein subcellular localization prediction based on profile alignment and Gene Ontology.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications.
Proceedings of the IEEE International Conference on Acoustics, 2011

A mutual information based approach for evaluating the quality of clustering.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Feature Selection for Genomic Signal Processing: Unsupervised, Supervised, and Self-Supervised Scenarios.
J. Signal Process. Syst., 2010

A KNN-Scoring Based Core-Growing Approach to Cluster Analysis.
J. Signal Process. Syst., 2010

A novel three-class ROC method for eQTL analysis.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Speeding up subcellular localization by extracting informative regions of protein sequences for profile alignment.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Truncation of protein sequences for fast profile alignment with application to subcellular localization.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Systolic Arrays.
Proceedings of the Handbook of Signal Processing Systems, 2010

2009
Embedded Computing for Fluorescence Confocal Endomicroscopy Imaging.
J. Signal Process. Syst., 2009

On Practical Design for Joint Distributed Source and Network Coding.
IEEE Trans. Inf. Theory, 2009

A kernel-based core growing clustering method.
Int. J. Intell. Syst., 2009

Kernel Approaches to Unsupervised and Supervised Machine Learning.
Proceedings of the Advances in Multimedia Information Processing, 2009

Feature-based registration of confocal fluorescence endomicroscopy images.
Proceedings of the International Conference on Image Processing, 2009

Conditional random fields for the prediction of signal peptide cleavage sites.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Trend and Challenge on System-on-a-Chip Designs.
J. Signal Process. Syst., 2008

PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM.
IEEE ACM Trans. Comput. Biol. Bioinform., 2008

Feature Selection for Self-Supervised Classification With Applications to Microarray and Sequence Data.
IEEE J. Sel. Top. Signal Process., 2008

Fusion of feature selection methods for pairwise scoring SVM.
Neurocomputing, 2008

Fusion of cleavage site detection and pairwise alignment for fast subcellular localization.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Probabilistic feature-based transformation for speaker verification over telephone networks.
Neurocomputing, 2007

Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning.
Comput. Speech Lang., 2007

Feature Selection for Pairwise Scoring Kernels with Applications to Protein Subcellular Localization.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Blind Stochastic Feature Transformation for Channel Robust Speaker Verification.
J. VLSI Signal Process., 2006

A unification of network coding and tree-packing (routing) theorems.
IEEE Trans. Inf. Theory, 2006

Machine learning for multimodality genomic signal processing.
IEEE Signal Process. Mag., 2006

Adaptive articulatory feature-based conditional pronunciation modeling for speaker verification.
Speech Commun., 2006

Distributed Utility Maximization for Network Coding Based Multicasting: A Shortest Path Approach.
IEEE J. Sel. Areas Commun., 2006

Symmetric and Asymmetric Multi-modality Biclustering Analysis for Microarray Data Matrix.
J. Bioinform. Comput. Biol., 2006

A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

On Consistent Fusion of Multimodal Biometrics.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection.
IEEE Trans. Signal Process., 2005

Capacity bound analysis for FIR Bézout equalizers in ISI MIMO channels.
IEEE Trans. Signal Process., 2005

Minimum-energy multicast in mobile ad hoc networks using network coding.
IEEE Trans. Commun., 2005

Network planning in wireless ad hoc networks: a cross-Layer approach.
IEEE J. Sel. Areas Commun., 2005

Depth measurement from integral images through viewpoint image extraction and a modified multibaseline disparity analysis algorithm.
J. Electronic Imaging, 2005

Extraction of Speaker Features from Different Stages of DSR Front-Ends for Distributed Speaker Verification.
Int. J. Speech Technol., 2005

A Low-Cost Time-Hopping Impulse Radio System for High Data Rate Transmission.
EURASIP J. Adv. Signal Process., 2005

A recursive QR approach to adaptive equalization of time-varying MIMO channels.
Commun. Inf. Syst., 2005

Channel robust speaker verification via Bayesian blind stochastic feature transformation.
Proceedings of the INTERSPEECH 2005, 2005

Speaker verification via articulatory feature-based conditional pronunciation modeling with vowel and consonant mixture models.
Proceedings of the INTERSPEECH 2005, 2005

Bounding the power rate function of wireless ad hoc networks.
Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

Reduced-complexity network coding for multicasting over ad hoc networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Speaker Verification Using Adapted Articulatory Feature-based Conditional Pronunciation Modeling.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A two-level fusion approach to multimodal biometric verification.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference, 2005

Multi-Class Biclustering and Classification Based on Modeling of Gene Regulatory Networks.
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004
Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution.
J. VLSI Signal Process., 2004

Signal detection for MIMO-ISI channels: an iterative greedy improvement approach.
IEEE Trans. Signal Process., 2004

Stochastic Feature Transformation with Divergence-Based Out-of-Handset Rejection for Robust Speaker Verification.
EURASIP J. Adv. Signal Process., 2004

Accurate detection of aneuploidies in array CGH and gene expression microarray data.
Bioinform., 2004

Mobility assisted optimal routing in noninterfering mobile ad hoc networks.
Proceedings of the Quality of Service, 2004

Adaptive conditional pronunciation modeling using articulatory features for speaker verification.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

A new approach to channel robust speaker verification via constrained stochastic feature transformation.
Proceedings of the INTERSPEECH 2004, 2004

Articulatory feature-based conditional pronunciation modeling for speaker verification.
Proceedings of the INTERSPEECH 2004, 2004

Multi-sample fusion with constrained feature transformation for robust speaker verification.
Proceedings of the INTERSPEECH 2004, 2004

Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems.
Proceedings of the Biometric Authentication, First International Conference, 2004

Cross-weighted Fisher discriminant analysis for visualization of DNA microarray data.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Applying articulatory features to telephone-based speaker verification.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A recursive QR approach to semi-blind equalization of time-varying MIMO channels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Multi-sample data-dependent fusion of sorted score sequences for biometric verification.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Discriminatory Mining of Gene Expression Microarray Data.
J. VLSI Signal Process., 2003

3D-Object Space Reconstruction from Planar Recorded Data of 3D-Integral Images.
J. VLSI Signal Process., 2003

Capacity analysis for parallel and sequential MIMO equalizers.
IEEE Trans. Signal Process., 2003

Impulse radio pulse shaping for ultra-wide bandwidth (UWB) systems.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

DFT-based hybrid antenna selection schemes for spatially correlated MIMO channels.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

Speaker verification based on g.729 and g.723.1 coder parameters and handset mismatch compensation.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Environment adaptation for robust speaker verification.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Adaptive decision fusion for multi-sample speaker verification over GSM networks.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Computational intelligence approach for gene expression data mining and classification.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Detection for MIMO systems with imprecise channel knowledge.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Robust speaker verification from GSM-transcoded speech based on decision fusion and feature transformation.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

A nonlinear recursive least-squares algorithm for the blind separation of finite-alphabet sources.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Phase-shift-based antenna selection for MIMO channels.
Proceedings of the Global Telecommunications Conference, 2003

Achievable capacity with sequential equalizers in Rayleigh fading MIMO channels.
Proceedings of the Global Telecommunications Conference, 2003

Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

2002
COD: Diversity-Adaptive Subspace Processing for Multipath Separation and Signal Recovery.
J. VLSI Signal Process., 2002

Bezout space-time precoders and equalizers for MIMO channels.
IEEE Trans. Signal Process., 2002

A Comparative Study on Kernel-Based Probabilistic Neural Networks for Speaker Verification.
Int. J. Neural Syst., 2002

Kernel-Based Probabilistic Neural Networks with Integrated Scoring Normalization for Speaker Verification.
Proceedings of the Advances in Multimedia Information Processing, 2002

Divergence-based out-of-class rejection for telephone handset identification.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Spreading code assignment in an ad hoc DS-CDMA wireless network.
Proceedings of the IEEE International Conference on Communications, 2002

Combining stochastic feature transformation and handset identification for telephone-based speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2002

Bezout equalization for STBC-MIMO systems.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Extraction of Video Objects via Surface Optimization and Voronoi Order.
J. VLSI Signal Process., 2001

Dynamic resource allocation via video content and short-term traffic statistics.
IEEE Trans. Multim., 2001

A GMM-Based Handset Selector for Channel Mismatch Compensation with Applications to Speaker Identification.
Proceedings of the Advances in Multimedia Information Processing, 2001

Intelligent Multi-hop Video Communications.
Proceedings of the Advances in Multimedia Information Processing, 2001

COD: blind path separation with limited antenna size.
Proceedings of the IEEE International Conference on Acoustics, 2001

Hierarchical adaptive regularisation method for depth extraction from planar recording of 3D-integral images.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution.
J. VLSI Signal Process., 2000

On gradient adaptation with unit-norm constraints.
IEEE Trans. Signal Process., 2000

Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization.
IEEE Trans. Neural Networks Learn. Syst., 2000

Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification.
IEEE Trans. Neural Networks Learn. Syst., 2000

Efficient Representation and Comparison of Multimedia Content using DAG-Composition.
Proceedings of the 2000 IEEE International Conference on Multimedia and Expo, 2000

Dynamic Resource Allocation via Video Content and Short-Term Traffic Statistics.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
A fast rate-optimized motion estimation algorithm for low-bit-rate video coding.
IEEE Trans. Circuits Syst. Video Technol., 1999

Synergistic modeling and applications of hierarchical fuzzy neural networks.
Proc. IEEE, 1999

Automatic video object segmentation via Voronoi ordering and surface optimization.
Proceedings of the Third IEEE Workshop on Multimedia Signal Processing, 1999

Intelligent multimedia signal processing: technology, application, and challenge.
Proceedings of the Third IEEE Workshop on Multimedia Signal Processing, 1999

Automatic music score recognition/play system based on decision based neural network.
Proceedings of the Third IEEE Workshop on Multimedia Signal Processing, 1999

Hierarchical probabilistic principal component subspaces for data visualization.
Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive paraunitary filter banks for principal and minor subspace analysis.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures.
J. VLSI Signal Process., 1998

Editorial Message.
J. VLSI Signal Process., 1998

Multimedia Signal Processors: An Architectural Platform with Algorithmic Compilation.
J. VLSI Signal Process., 1998

A Systolic Design Methodology with Application to Full-Search Block-Matching Architectures.
J. VLSI Signal Process., 1998

Data mapping by probabilistic modular networks and information-theoretic criteria.
IEEE Trans. Signal Process., 1998

Quantification and segmentation of brain tissues from MR images: a probabilistic neural network approach.
IEEE Trans. Image Process., 1998

Guest Editorial Applications Of Artificial Neural Networks To Image Processing.
IEEE Trans. Image Process., 1998

A self-stabilized minor subspace rule.
IEEE Signal Process. Lett., 1998

Guest Editorial: Special Section on Computational Intelligence in Image Processing.
J. Electronic Imaging, 1998

Circular Viterbi based adaptive system for automatic video object segmentation.
Proceedings of the Second IEEE Workshop on Multimedia Signal Processing, 1998

Frame-rate up-conversion using transmitted true motion vectors.
Proceedings of the Second IEEE Workshop on Multimedia Signal Processing, 1998

A novel learning method by structural reduction of DAGs for on-line OCR applications.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Extraction of independent components from hybrid mixture: KuicNet learning algorithm and applications.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
A Principal Component Clustering Approach to Object-Oriented Motion Segmentation and Estimation.
J. VLSI Signal Process., 1997

A Linear Systolic Array for Real-Time Morphological Image Processing.
J. VLSI Signal Process., 1997

Coding and comparison of DAG's as a novel neural structure with applications to on-line handwriting recognition.
IEEE Trans. Signal Process., 1997

A delay damage model selection algorithm for NARX neural networks.
IEEE Trans. Signal Process., 1997

Guest Editors' Introduction: Neural Networks For Signal Processing.
IEEE Trans. Signal Process., 1997

Face recognition/detection by probabilistic decision-based neural network.
IEEE Trans. Neural Networks, 1997

Implementation of media processors.
IEEE Signal Process. Mag., 1997

Neural networks for intelligent multimedia processing.
IEEE Signal Process. Mag., 1997

The past, present, and future of neural networks for signal processing.
IEEE Signal Process. Mag., 1997

Model-based Neural Networks for Image Processing.
IEEE Signal Process. Mag., 1997

A recursively structured solution for handwriting and speech recognition.
Proceedings of the First IEEE Workshop on Multimedia Signal Processing, 1997

On architectural styles for multimedia signal processors.
Proceedings of the First IEEE Workshop on Multimedia Signal Processing, 1997

Rate optimization by true motion estimation.
Proceedings of the First IEEE Workshop on Multimedia Signal Processing, 1997

A hierarchical algorithm for image retrieval by sketch.
Proceedings of the First IEEE Workshop on Multimedia Signal Processing, 1997

An Operation Placement and Scheduling Scheme for Cache and Communication Localities in Fine-Grain Parallel Architectures.
Proceedings of the 1997 International Symposium on Parallel Architectures, 1997

1996
Dynamic programming implementation on array processor architectures.
J. VLSI Signal Process., 1996

Object-based scene segmentation combining motion and image cues.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A feature tracking algorithm using neighborhood relaxation with multi-candidate pre-screening.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Video shot classification using human faces.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

A probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Motion-based segmentation by principal singular vector (PSV) clustering method.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Parallel and pipelined VLSI implementation of a staged decoder for BCM signals.
J. VLSI Signal Process., 1995

Decision-based neural networks with signal/image classification applications.
IEEE Trans. Neural Networks, 1995

Probabilistic DBNN via expectation-maximization with multi-sensor classification applications.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Decision-based neural network for face recognition system.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Multi-level pixel difference classification methods.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Bit Level Block Matching Systolic Arrays.
Proceedings of the International Conference on Application Specific Array Processors (ASAP'95), 1995

1994
Adaptive Principal component EXtraction (APEX) and applications.
IEEE Trans. Signal Process., 1994

Cross-correlation neural network models.
IEEE Trans. Signal Process., 1994

Multilayer neural networks for reduced-rank approximation.
IEEE Trans. Neural Networks, 1994

An SVD Approach to Multi-Camera-Multi-Target 3-D Motion-Shape Analysis.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Register transfer modeling and simulation for array processors.
Proceedings of the International Conference on Application Specific Array Processors, 1994

1993
On partitioning and fault tolerance issues for neural array processors.
J. VLSI Signal Process., 1993

Prediction-based networks with ECG application.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

Fuzzy-decision neural networks.
Proceedings of the IEEE International Conference on Acoustics, 1993

Volume rendering by wavefront architecture.
Proceedings of the International Conference on Application-Specific Array Processors, 1993

Scheduling partitioned algorithms on processor arrays with limited communication supports.
Proceedings of the International Conference on Application-Specific Array Processors, 1993

Digital neural networks.
Prentice Hall Information and System Sciences Series, Prentice Hall, ISBN: 978-0-13-612326-2, 1993

1992
Hidden Markov models for character recognition.
IEEE Trans. Image Process., 1992

1991
Editorial.
J. VLSI Signal Process., 1991

Systolic array designs for Kalman filtering.
IEEE Trans. Signal Process., 1991

An Optimal Systolic Array for the Algebraic Path Problem.
IEEE Trans. Computers, 1991

Comparison of several learning subspace methods for classification.
Proceedings of the 1991 International Conference on Acoustics, 1991

Competition-based supervised learning algorithm for nonlinear discriminant functions.
Proceedings of the 1991 International Conference on Acoustics, 1991

An unsupervised neural model for oriented principal component extraction.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
The use of data dependence graphs in the design of bit-level systolic arrays.
IEEE Trans. Acoust. Speech Signal Process., 1990

Orthogonal learning network for constrained principal component problem.
Proceedings of the IJCNN 1990, 1990

Special purpose array processor implementation of neural networks.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

An object recognition system using stochastic knowledge source and VLSI parallel architecture.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

A neural network learning algorithm for adaptive principal component extraction (APEX).
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
Parallel algorithms/architectures for neural networks.
J. VLSI Signal Process., 1989

Introduction.
J. VLSI Signal Process., 1989

A systolic neural network architecture for hidden Markov models.
IEEE Trans. Acoust. Speech Signal Process., 1989

Fault-Tolerant Array Processors Using Single-Track Switches.
IEEE Trans. Computers, 1989

A Unified Systolic Architecture for Artificial Neural Networks.
J. Parallel Distributed Comput., 1989

A unifying algorithm/architecture for artificial neural networks.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
An algebraic projection analysis for back-propagation learning.
Neural Networks, 1988

Ring systolic designs for artificial neural nets.
Neural Networks, 1988

Graceful Degradation Schemes for Static/Dynamic Wavefront Arrays.
Proceedings of the International Conference on Parallel Processing, 1988

A hierarchical system for character recognition with stochastic knowledge representation.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

Parallel architectures for artificial neural nets.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

An algebraic projection analysis for optimal hidden units size and learning rates in back-propagation learning.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988

Efficient modeling for multilayer feed-forward neural nets.
Proceedings of the IEEE International Conference on Acoustics, 1988

An efficient triarray systolic design for real-time Kalman filtering.
Proceedings of the IEEE International Conference on Acoustics, 1988

CORP-a new recovery procedure for VLSI processor arrays.
Proceedings of the First Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'88), 1988

1987
Optimal Systolic Design for the Transitive Closure and the Shortest Path Problems.
IEEE Trans. Computers, 1987

Performance Analysis and Optimization of VLSI Dataflow Arrays.
J. Parallel Distributed Comput., 1987

Wavefront Array Processors-Concept to Implementation.
Computer, 1987

A Wavefront Array Processor Using Dataflow Processing Elements.
Proceedings of the Supercomputing, 1987

Matching algorithms to array processors.
Proceedings of the 1987 Fall Joint Computer Conference on Exploring technology: today and tomorrow, 1987

1986
Real-Time Configuration for Fault-Tolerant VLSI Array Processors.
Proceedings of the 7th IEEE Real-Time Systems Symposium (RTSS '86), 1986

Timing Analysis and Design Optimization of VLSI Data Flow Arrays.
Proceedings of the International Conference on Parallel Processing, 1986

A Toeplitz approximation approach to coherent source direction finding.
Proceedings of the IEEE International Conference on Acoustics, 1986

On VLSI array architectures for digital image processing.
Proceedings of the IEEE International Conference on Acoustics, 1986

1985
Toeplitz eigensystem solver.
IEEE Trans. Acoust. Speech Signal Process., 1985

Hierarchical flowgraph integration for VLSI array processors.
Proceedings of the IEEE International Conference on Acoustics, 1985

1984
On programming VLSI concurrent array processors.
Integr., 1984

A state space approach for the 2-D harmonic retrieval problem.
Proceedings of the IEEE International Conference on Acoustics, 1984

An algorithm basis for systolic/Wavefront array software.
Proceedings of the IEEE International Conference on Acoustics, 1984

1983
VLSI design for massively parallel signal processors.
Microprocess. Microsystems, 1983

Highly concurrent Toeplitz eigen-system solver for high resolution spectral estimation.
Proceedings of the IEEE International Conference on Acoustics, 1983

1982
Wavefront Array Processor: Language, Architecture, and Applications.
IEEE Trans. Computers, 1982

Analysis and implementation of the adaptive notch filter for frequency estimation.
Proceedings of the IEEE International Conference on Acoustics, 1982

1981
Highly parallel architectures for solving linear equations.
Proceedings of the IEEE International Conference on Acoustics, 1981


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