Andrew Chi-Sing Leung

Orcid: 0000-0003-0962-6723

Affiliations:
  • City University of Hong Kong


According to our database1, Andrew Chi-Sing Leung authored at least 233 papers between 1994 and 2024.

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Bibliography

2024
Temporal vectorized visibility for direct illumination of animated models.
Comput. Vis. Media, December, 2024

Robust Multidimensional Similarity Analysis for IoT Localization With SαS Distributed Errors.
IEEE Internet Things J., November, 2024

Influence of Imperfections on the Operational Correctness of DNN-kWTA Model.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Image Classification on Hypersphere Loss.
IEEE Trans. Ind. Informatics, April, 2024

Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Real-Time Lighting Effects for Consumer-Grade Mobile Graphics Hardware.
IEEE Trans. Consumer Electron., February, 2024

Sparse Unmixing in the Presence of Mixed Noise Using ℓ<sub>0</sub>-Norm Constraint and Log-Cosh Loss.
IEEE Trans. Geosci. Remote. Sens., 2024

Robust noise-aware algorithm for randomized neural network and its convergence properties.
Neural Networks, 2024

Generalized M-sparse algorithms for constructing fault tolerant RBF networks.
Neural Networks, 2024

A semidefinite programming approach for robust elliptic localization.
J. Frankl. Inst., 2024

ℓp-norm minimization for outlier-resistant elliptic positioning in α-stable impulsive interference.
J. Frankl. Inst., 2024

Projected gradient descent method for cardinality-constrained portfolio optimization.
J. Frankl. Inst., 2024

Sparse recovery under nonnegativity and sum-to-one constraints.
Inf. Sci., 2024

An ADMM approach for elliptic positioning in non-line-of-sight environments.
Digit. Signal Process., 2024

D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding.
CoRR, 2024

Integrating teletraffic theory with neural networks for quality-of-service evaluation in mobile networks.
Appl. Soft Comput., 2024

AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sparse Index Tracking With K-Sparsity or ϵ-Deviation Constraint via ℓ<sub>0</sub>-Norm Minimization.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks.
J. Ambient Intell. Humaniz. Comput., December, 2023

Two analog neural models with the controllability on number of assets for sparse portfolio design.
Neurocomputing, November, 2023

Phase retrieval via Lagrange programming neural network.
Digit. Signal Process., November, 2023

A Globally Stable LPNN Model for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm.
IEEE Trans. Neural Networks Learn. Syst., May, 2023

Formal convergence analysis on deterministic ℓ1-regularization based mini-batch learning for RBF networks.
Neurocomputing, May, 2023

Constrained Center Loss for Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

A Local Correspondence-Aware Hybrid CNN-GCN Model for Single-Image Human Body Reconstruction.
IEEE Trans. Multim., 2023

Maximum Correntropy Criterion With Variable Center for Robust Passive Multistatic Localization.
IEEE Signal Process. Lett., 2023

Learning Dense UV Completion for 3D Human Mesh Recovery.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Distributed kWTA for Decentralized Auctions.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Revamped Sparse Index Tracker Leveraging K-Sparsity and Reduced Portfolio Reshuffling.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Semantic-Aware Gated Fusion Network For Interactive Colorization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Interactive Deep Colorization and its Application for Image Compression.
IEEE Trans. Vis. Comput. Graph., 2022

DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units.
IEEE Trans. Neural Networks Learn. Syst., 2022

Convergence analysis on the deterministic mini-batch learning algorithm for noise resilient radial basis function networks.
Int. J. Mach. Learn. Cybern., 2022

Noise/fault aware regularization for incremental learning in extreme learning machines.
Neurocomputing, 2022

A Robust ELM Algorithm for Compensating the Effect of Node Fault and Weight Noise.
Proceedings of the Recent Advances in Soft Computing and Data Mining, 2022

Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Lagrange Programming Neural Networks for Sparse Portfolio Design.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Histogram-Guided Semantic-Aware Colorization.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Theoretical analysis and image reconstruction for multi-bit quanta image sensors.
Signal Process., 2021

Evaluating Non-Hierarchical Overflow Loss Systems Using Teletraffic Theory and Neural Networks.
IEEE Commun. Lett., 2021

Analysis on Noisy Boltzmann Machines and Noisy Restricted Boltzmann Machines.
IEEE Access, 2021

All Frequency Direct Illumination Using Visibility Correspondence Generated With Spherical Voronoi Diagrams.
IEEE Access, 2021

A Fault Aware Broad Learning System for Concurrent Network Failure Situations.
IEEE Access, 2021

Edge-Aware Multi-Scale Progressive Colorization.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Limitation of Gradient Descent Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

GPU-accelerated 2D OTSU and 2D entropy-based thresholding.
J. Real Time Image Process., 2020

Robust ellipse fitting based on Lagrange programming neural network and locally competitive algorithm.
Neurocomputing, 2020

Constrained Center Loss for Image Classification.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Analysis on the Boltzmann Machine with Random Input Drifts in Activation Function.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Convergence of Mini-Batch Learning for Fault Aware RBF Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise.
IEEE Trans. Neural Networks Learn. Syst., 2019

Robust ellipse fitting via alternating direction method of multipliers.
Signal Process., 2019

Orthogonal least squares based center selection for fault-tolerant RBF networks.
Neurocomputing, 2019

Seamless Mipmap Filtering for Dual Paraboloid Maps.
Comput. Graph. Forum, 2019

An ℓ<sub>0</sub>-Norm-Based Centers Selection for Failure Tolerant RBF Networks.
IEEE Access, 2019

Enhancement of Extreme Learning Machine for Estimating Blocking Probability of OCS Networks With Fixed-Alternate Routing.
IEEE Access, 2019

Fault and Noise Tolerance in the Incremental Extreme Learning Machine.
IEEE Access, 2019

Explicit Center Selection and Training for Fault Tolerant RBF Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Analysis on Dropout Regularization.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Fault Tolerant Broad Learning System.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Interactive Deep Colorization Using Simultaneous Global and Local Inputs.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Summed Area Tables for Cube Maps.
IEEE Trans. Vis. Comput. Graph., 2018

ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers.
IEEE Trans. Neural Networks Learn. Syst., 2018

On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise.
IEEE Trans. Neural Networks Learn. Syst., 2018

Augmented Lagrange Programming Neural Network for Localization Using Time-Difference-of-Arrival Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robustness Analysis on Dual Neural Network-based k WTA With Input Noise.
IEEE Trans. Neural Networks Learn. Syst., 2018

An analog neural network approach for the least absolute shrinkage and selection operator problem.
Neural Comput. Appl., 2018

Scribble-based gradient mesh recoloring.
Multim. Tools Appl., 2018

l0-norm Based Centers Selection for Failure Tolerant RBF Networks.
CoRR, 2018

Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework.
CoRR, 2018

Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization.
Cogn. Comput., 2018

MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Fault-Resistant Algorithms for Single Layer Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Robust LPNN Technique for Target Localization Under Hybrid TOA/AOA Measurements.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Editorial for Special Issue on ICONIP 2014.
Neural Process. Lett., 2017

Sparse and Truncated Nuclear Norm Based Tensor Completion.
Neural Process. Lett., 2017

Extreme Learning Machine for Estimating Blocking Probability of Bufferless OBS/OPS Networks.
JOCN, 2017

Special issue on ACML 2015.
Neurocomputing, 2017

Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures.
Neurocomputing, 2017

Noise Resistant Training for Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Lagrange Programming Neural Network Approach for Target Localization in Distributed MIMO Radar.
IEEE Trans. Signal Process., 2016

Objective Function and Learning Algorithm for the General Node Fault Situation.
IEEE Trans. Neural Networks Learn. Syst., 2016

LCA based RBF training algorithm for the concurrent fault situation.
Neurocomputing, 2016

A Robust TOA Source Localization Algorithm Based on LPNN.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fault-Tolerant Incremental Learning for Extreme Learning Machines.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
All-Frequency Direct Illumination with Vectorized Visibility.
IEEE Trans. Vis. Comput. Graph., 2015

Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

Online Training for Open Faulty RBF Networks.
Neural Process. Lett., 2015

GPU Accelerated Self-Organizing Map for High Dimensional Data.
Neural Process. Lett., 2015

Editorial for Special Issue on ICONIP 2013.
Neural Process. Lett., 2015

Waveform Design With Unit Modulus and Spectral Shape Constraints via Lagrange Programming Neural Network.
IEEE J. Sel. Top. Signal Process., 2015

Editorial for special issue on ICONIP 2013.
Neurocomputing, 2015

Online training and its convergence for faulty networks with multiplicative weight noise.
Neurocomputing, 2015

Optimization-Based Gradient Mesh Colour Transfer.
Comput. Graph. Forum, 2015

Noise on Gradient Systems with Forgetting.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Non-Line-of-Sight Mitigation via Lagrange Programming Neural Networks in TOA-Based Localization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Lagrange programming neural networks for time-of-arrival-based source localization.
Neural Comput. Appl., 2014

Recurrent networks for compressive sampling.
Neurocomputing, 2014

Special issue on ICONIP 2012 "Learning Algorithms and Applications".
Neurocomputing, 2014

An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network.
Cogn. Comput., 2014

Online Learning for Faulty RBF Networks with the Concurrent Fault.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A Line-Partitioned Heteroassociative Memory for Storing Binary Fresnel Hologram.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Tensor Completion Based on Structural Information.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

The Performance of the Stochastic DNN-kWTA Network.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

An analog network approach to train RBF networks based on sparse recovery.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

2013
Effect of Input Noise and Output Node Stochastic on Wang's kWTA.
IEEE Trans. Neural Networks Learn. Syst., 2013

Example-Based Color Transfer for Gradient Meshes.
IEEE Trans. Multim., 2013

HEALPIX DCT technique for compressing PCA-based illumination adjustable images.
Neural Comput. Appl., 2013

Editorial for special issue on ICONIP2011 "Advances in Learning Algorithms".
Neural Comput. Appl., 2013

PSO-based K-Means clustering with enhanced cluster matching for gene expression data.
Neural Comput. Appl., 2013

Concentric Spherical Representation for Omnidirectional Soft Shadow.
Comput. Graph. Forum, 2013

GPU Accelerated Spherical K-Means Training.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Enhanced GPU Accelerated K-Means Algorithm for Gene Clustering Based on a Merging Thread Strategy.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
A Graphics Processing Unit Accelerated Genetic Algorithm for Affine Invariant Matching of Broken Contours.
J. Signal Process. Syst., 2012

Analysis on the Convergence Time of Dual Neural Network-Based WTA.
IEEE Trans. Neural Networks Learn. Syst., 2012

Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs.
IEEE Trans. Neural Networks Learn. Syst., 2012

On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2012

RBF Networks Under the Concurrent Fault Situation.
IEEE Trans. Neural Networks Learn. Syst., 2012

Self-organizing map-based color palette for high-dynamic range texture compression.
Neural Comput. Appl., 2012

Decouple implementation of weight decay for recursive least square.
Neural Comput. Appl., 2012

Editorial for special issue on ICONIP2010 "applications of neural information processing".
Neural Comput. Appl., 2012

Optimization of tuning parameters for open node fault regularizer.
Neurocomputing, 2012

Fast Affine Invariant Shape Matching from 3D Images Based on the Distance Association Map and the Genetic Algorithm.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011
Spatiotemporal Sampling of Dynamic Environment Sequences.
IEEE Trans. Vis. Comput. Graph., 2011

Unicube for Dynamic Environment Mapping.
IEEE Trans. Vis. Comput. Graph., 2011

Objective Functions of Online Weight Noise Injection Training Algorithms for MLPs.
IEEE Trans. Neural Networks, 2011

A GPU implementation for LBG and SOM training.
Neural Comput. Appl., 2011

Decoding ambisonic signals to irregular quad loudspeaker configuration based on hybrid ANN and modified tabu search.
Neural Comput. Appl., 2011

The effect of weight fault on associative networks.
Neural Comput. Appl., 2011

Regularizers for fault tolerant multilayer feedforward networks.
Neurocomputing, 2011

Special issue on ICONIP2009 "Learning algorithm and mathematic modeling".
Neurocomputing, 2011

Training RBF network to tolerate single node fault.
Neurocomputing, 2011

Analysis on Wang's kWTA with Stochastic Output Nodes.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Recovery of Sparse Signal from an Analog Network Model.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Improved Gene Clustering Based on Particle Swarm Optimization, K-Means, and Cluster Matching.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Comparison between the Applications of Fragment-Based and Vertex-Based GPU Approaches in K-Means Clustering of Time Series Gene Expression Data.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Evolving Mazes from Images.
IEEE Trans. Vis. Comput. Graph., 2010

All-Frequency Lighting with Multiscale Spherical Radial Basis Functions.
IEEE Trans. Vis. Comput. Graph., 2010

On the selection of weight decay parameter for faulty networks.
IEEE Trans. Neural Networks, 2010

Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks.
IEEE Trans. Neural Networks, 2010

Kernel Width Optimization for Faulty RBF Neural Networks with Multi-node Open Fault.
Neural Process. Lett., 2010

Uniformly sampling multi-resolution analysis for image-based relighting.
J. Vis. Commun. Image Represent., 2010

Generalization Error of Faulty MLPs with Weight Decay Regularizer.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Lagrange Programming Neural Networks for Compressive Sampling.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Scalar Quantizers with Uniform Encoders and Channel-Optimized Decoders for M-PSK Schemes.
Proceedings of the Global Communications Conference, 2010

GPU Color Quantization.
Proceedings of the GPU Pro - Advanced Rendering Techniques., 2010

Parallelized Implementation of Universal Visual Computer.
Proceedings of the GPU Pro - Advanced Rendering Techniques., 2010

2009
On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise.
IEEE Trans. Neural Networks, 2009

Efficient Relighting of RBF-Based Illumination Adjustable Images.
IEEE Trans. Neural Networks, 2009

The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video.
IEEE Trans. Multim., 2009

Decoding Ambisonic Signals to Irregular Loudspeaker Configuration Based on Artificial Neural Networks.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Fault Tolerant Regularizers for Multilayer Feedforward Networks.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Animating animal motion from still.
ACM Trans. Graph., 2008

Intrinsic colorization.
ACM Trans. Graph., 2008

A Fault-Tolerant Regularizer for RBF Networks.
IEEE Trans. Neural Networks, 2008

A GPU favor representation method for plenoptic-illumination function based on an efficient spherical partition scheme.
Signal Process. Image Commun., 2008

Parallelization of cellular neural networks on GPU.
Pattern Recognit., 2008

Improved transmission of vector quantized data over noisy channels.
Neural Comput. Appl., 2008

Prediction error of a fault tolerant neural network.
Neurocomputing, 2008

On Node-Fault-Injection Training of an RBF Network.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On Weight-Noise-Injection Training.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007
Isocube: Exploiting the Cubemap Hardware.
IEEE Trans. Vis. Comput. Graph., 2007

Discrete Wavelet Transform on Consumer-Level Graphics Hardware.
IEEE Trans. Multim., 2007

Noise-proofing the doubly SH-projected coefficients for synthesizing images under environment lighting.
Signal Process. Image Commun., 2007

Editorial for ICONIP 2006.
Neural Comput. Appl., 2007

The Local True Weight Decay Recursive Least Square Algorithm.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Analysis on Bidirectional Associative Memories with Multiplicative Weight Noise.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Noise-Resistant Fitting for Spherical Harmonics.
IEEE Trans. Vis. Comput. Graph., 2006

Generalized RLS approach to the training of neural networks.
IEEE Trans. Neural Networks, 2006

An RBF-based compression method for image-based relighting.
IEEE Trans. Image Process., 2006

GPU-friendly rendering for illumination adjustable images.
Signal Process. Image Commun., 2006

Soft-Decoding SOM for VQ Over Wireless Channels.
Neural Process. Lett., 2006

Combined learning and pruning for recurrent radial basis function networks based on recursive least square algorithms.
Neural Comput. Appl., 2006

Mean square error analysis of RLS algorithm for WSSUS fading channels.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Prediction Error of a Fault Tolerant Neural Network.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Novel Adaptive OFDM Receiver with Second Order Polynomial Nyquist Window Function.
Proceedings of IEEE International Conference on Communications, 2006

A Novel Synchronization Scheme for OFDM Over Fading Channels.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Compressing the illumination-adjustable images with principal component analysis.
IEEE Trans. Circuits Syst. Video Technol., 2005

Spherical Q2-tree for Sampling Dynamic Environment Sequences.
Proceedings of the Eurographics Symposium on Rendering Techniques, Konstanz, Germany, June 29, 2005

2004
Data compression on the illumination adjustable images by PCA and ICA.
Signal Process. Image Commun., 2004

A compression method for a massive image data set in image-based rendering.
Signal Process. Image Commun., 2004

Eigen-image based compression for the image-based relighting with cascade recursive least squared networks.
Pattern Recognit., 2004

Modified LMMSE turbo equalization.
IEEE Commun. Lett., 2004

Data compression with spherical wavelets and wavelets for the image-based relighting.
Comput. Vis. Image Underst., 2004

Analysis and Design of an Agent Searching Algorithm for e-Marketplaces.
Clust. Comput., 2004

2003
Analysis on a Mobile Agent-Based Algorithm for Network Routing and Management.
IEEE Trans. Parallel Distributed Syst., 2003

Analysis on Extended Ant Routing Algorithms for Network Routing and Management.
J. Supercomput., 2003

Compression of illumination-adjustable images.
IEEE Trans. Circuits Syst. Video Technol., 2003

An improved optimal bit allocation method for sub-band coding.
Pattern Recognit. Lett., 2003

An improved sequential method for principal component analysis.
Pattern Recognit. Lett., 2003

Dual extended Kalman filtering in recurrent neural networks.
Neural Networks, 2003

A Local Training-Pruning Approach for Recurrent Neural Networks.
Int. J. Neural Syst., 2003

PCA-based compression for image-based relighting.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Data Compression for a Massive Image Data Set in IBMR.
Proceedings of the 2003 Computer Graphics International (CGI 2003), 2003

2002
The plenoptic illumination function.
IEEE Trans. Multim., 2002

Handwritten Digit Recognition Using Multi-Layer Feedforward Neural Networks with Periodic and Monotonic Activation Functions.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks.
IEEE Trans. Neural Networks, 2001

A pruning method for the recursive least squared algorithm.
Neural Networks, 2001

2000
Combining DEKF algorithm and trace rule for fast on-line invariance extraction and recognition.
Pattern Recognit. Lett., 2000

A Local Training and Pruning Approach for Neural Networks.
Int. J. Neural Syst., 2000

1999
On the Kalman filtering method in neural network training and pruning.
IEEE Trans. Neural Networks, 1999

Analysis for a class of winner-take-all model.
IEEE Trans. Neural Networks, 1999

On the regularization of forgetting recursive least square.
IEEE Trans. Neural Networks, 1999

Design of trellis coded vector quantizers using Kohonen maps.
Neural Networks, 1999

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment.
Neural Comput., 1999

A unified sequential method for PCA.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

Handwritten digit recognition using trace neural network with EKF training algorithm.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

1998
An error control scheme for transmission of vector quantization data over noisy channels.
IEEE Trans. Signal Process., 1998

On-line Successive Synthesis of Wavelet Networks.
Neural Process. Lett., 1998

Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks.
Neural Comput., 1998

Combining PCA and MCA by using recursive least square learning method.
Proceedings of the 5th IEEE International Conference on Electronics, Circuits and Systems, 1998

Using recursive least square learning method for principal and minor components analysis.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Yet another algorithm which can generate topography map.
IEEE Trans. Neural Networks, 1997

Stability and statistical properties of second-order bidirectional associative memory.
IEEE Trans. Neural Networks, 1997

Transmission of vector quantized data over a noisy channel.
IEEE Trans. Neural Networks, 1997

The Behavior of Forgetting Learning in Bidrectional Associative Memory.
Neural Comput., 1997

1996
Storage behavior and error correction capability of bidirectional associative memory under forgetting learning.
Neural Parallel Sci. Comput., 1996

Attraction Basin of Bidirectional Associative Memories.
Int. J. Neural Syst., 1996

1995
Stability, capacity, and statistical dynamics of second-order bidirectional associative memory.
IEEE Trans. Syst. Man Cybern., 1995

1994
Optimum Learning for Bidirectional Associative Memory in the Sense of Capacity.
IEEE Trans. Syst. Man Cybern. Syst., 1994


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