Tommy W. S. Chow

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A multi-level matching method with hybrid similarity for document retrieval

Tommy W. S. Chow, Haijun Zhang, 2012, Expert Syst. Appl..

Quantization of Rough Set Based Attribute Reduction

Tommy W. S. Chow, Bing Li, Peng Tang, 2012 .

Soft label based Linear Discriminant Analysis for image recognition and retrieval

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2014, Comput. Vis. Image Underst..

Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 1997, Neural Computing & Applications.

An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques

Tommy W. S. Chow, Di Huang, T. Chow, 2006, ICONIP.

Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation

Tommy W. S. Chow, Mingbo Zhao, Zhaoyang Tian, 2019, Neural Computing and Applications.

Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients

Tommy W. S. Chow, Jim Y. F. Yam, T. Chow, 2001, IEEE Trans. Neural Networks.

Self-Organizing Potential Field Network: A New Optimization Algorithm

Tommy W. S. Chow, Lu Xu, T. Chow, 2010, IEEE Transactions on Neural Networks.

Matrix completion by least-square, low-rank, and sparse self-representations

Jicong Fan, Tommy W. S. Chow, T. Chow, 2017, Pattern Recognit..

HOS-based nonparametric and parametric methodologies for machine fault detection

Tommy W. S. Chow, Hongzhou Tan, T. Chow, 2000, IEEE Trans. Ind. Electron..

Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode

Tommy W. S. Chow, Hongzhou Tan, Xiao-Dong Li, 2007, IEEE Transactions on Control Systems Technology.

Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 1999, Neurocomputing.

Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer’s Disease

Tommy W. S. Chow, Peng Tang, Rosa H. M. Chan, 2014, IEEE Signal Processing Letters.

SEMISUPERVISED MULTIMODAL DIMENSIONALITY REDUCTION

Tommy W. S. Chow, Zhao Zhang, Ning Ye, 2013, Comput. Intell..

Validation Index for Transactional Clustering

Tommy W. S. Chow, Piyang Wang, W. M. Ma, 2009 .

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2015, Inf. Sci..

An efficient strategy for enhancing traffic capacity by removing links in scale-free networks

Tommy W. S. Chow, Wei Huang, T. Chow, 2010 .

Adaptive Identification Algorithms for AR System Driven by Chaotic Sequence

Tommy W. S. Chow, Kai Tat Ng, Bao-Yun Wang, 2003, Int. J. Bifurc. Chaos.

Local cooperation delivers global optimization

Tommy W. S. Chow, Zhou Wu, Lu Xu, 2012, 2012 IEEE Congress on Evolutionary Computation.

Third-order cumulant RLS algorithm for nonminimum ARMA systems identification

Tommy W. S. Chow, Gou Fei, Hong-Zhou Tan, 1997, Signal Process..

Modeling of continuous time dynamical systems with input by recurrent neural networks

Tommy W. S. Chow, Xiao-Dong Li, T. Chow, 2000 .

Recognition of word collocation habits using frequency rank ratio and inter-term intimacy

Tommy W. S. Chow, Peng Tang, 2013, Expert Syst. Appl..

Wireless sensor network fault detection via semi-supervised local kernel density estimation

Tommy W. S. Chow, Mingbo Zhao, 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [and reply]

Tommy W. S. Chow, Jinyan Li, Yoh-Han Pao, 1997, IEEE Trans. Neural Networks.

Iterative Learning Control of Linear Discrete-Time Multivariable Systems

Tommy W. S. Chow, Yong Fang, 1998, Autom..

Query-oriented text summarization based on hypergraph transversals pdf

Tommy W. S. Chow, Hadrien Van Lierde, T. Chow, 2019, Inf. Process. Manag..

Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model

Tommy W. S. Chow, Moshe Zukerman, Peng Tang, 2017, IEEE Transactions on Industrial Informatics.

ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2011, The 2011 International Joint Conference on Neural Networks.

Content-based image retrieval using growing hierarchical self-organizing quadtree map

Tommy W. S. Chow, Sitao Wu, M. K. M. Rahman, 2005, Pattern Recognit..

Clone selection programming and its application to symbolic regression

Tommy W. S. Chow, Zhaohui Gan, W. N. Chau, 2009, Expert Syst. Appl..

Graph model-based salient object detection using objectness and multiple saliency cues

Tommy W. S. Chow, Kuo-Kun Tseng, Q. M. Jonathan Wu, 2019, Neurocomputing.

Multi-Label Low-dimensional Embedding with Missing Labels

Tommy W. S. Chow, Haijun Zhang, Jianghong Ma, 2017, Knowl. Based Syst..

A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method

Tommy W. S. Chow, Siu-Yeung Cho, 2002, Neural Computation.

Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Knowledge and Data Engineering.

A People-Counting System Using a Hybrid RBF Neural Network

Tommy W. S. Chow, Di Huang, 2004, Neural Processing Letters.

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning

Tommy W. S. Chow, Yunming Ye, Qingyao Wu, 2015, IEEE Transactions on Neural Networks and Learning Systems.

PolSOM: A new method for multidimensional data visualization

Tommy W. S. Chow, Lu Xu, Yang Xu, 2010, Pattern Recognit..

A weight initialization method for improving training speed in feedforward neural network

Tommy W. S. Chow, Jim Y. F. Yam, T. Chow, 2000, Neurocomputing.

Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

Tommy W. S. Chow, Michael G. Pecht, Xiaohang Jin, 2014, IEEE Transactions on Industrial Electronics.

A new document representation using term frequency and vectorized graph connectionists with application to document retrieval

Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman, 2009, Expert Syst. Appl..

Functional Approximation of Higher-Order Neural Networks

Tommy W. S. Chow, Jinyan Li, T. Chow, 1996 .

High Dimensional Data Classification by the PolSOM Algorithm

Tommy W. S. Chow, Lu Xu, 2010, DMIN.

Learning parametric specular reflectance model by radial basis function network

Tommy W. S. Chow, Siu-Yeung Cho, 2000, IEEE Trans. Neural Networks Learn. Syst..

Object-Level Video Advertising: An Optimization Framework

Tommy W. S. Chow, Haijun Zhang, Xiong Cao, 2017, IEEE Transactions on Industrial Informatics.

Higher order cumulants-based least squares for nonminimum-phase systems identification

Tommy W. S. Chow, Siu-Yeung Cho, Gou Fei, 1997, IEEE Trans. Ind. Electron..

Performance enhancement using nonlinear preprocessing

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1996, IEEE Trans. Neural Networks.

Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field

Tommy W. S. Chow, Peng Tang, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Improvement of borrowing channel assignment for patterned traffic load by online cellular probabilistic self-organizing map

Tommy W. S. Chow, Kim Fung Tsang, Sitao Wu, 2006, Neural Computing & Applications.

A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition

Tommy W. S. Chow, Q. M. Jonathan Wu, Haijun Zhang, 2012, Pattern Recognit..

Two-dimensional learning strategy for multilayer feedforward neural network

Tommy W. S. Chow, Yong Fang, 2000, Neurocomputing.

Anomaly Detection and Fault Prognosis for Bearings

Tommy W. S. Chow, Yi Sun, Yu Wang, 2016, IEEE Transactions on Instrumentation and Measurement.

A new method in determining initial weights of feedforward neural networks for training enhancement

Tommy W. S. Chow, Jim Y. F. Yam, Chi-Tat Leung, 1997, Neurocomputing.

A segmentation based approach for shape recovery from multi-color images

Tommy W. S. Chow, Siu-Yeung Cho, M. K. M. Rahman, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Neighborhood field for cooperative optimization

Tommy W. S. Chow, Zhou Wu, 2013, Soft Comput..

Clonal selection programming for rotational machine fault classification and diagnosis

Tommy W. S. Chow, Peng Tang, Zhaohui Gan, 2011, 2011 Prognostics and System Health Managment Confernece.

A flexible multi-layer self-organizing map for generic processing of tree-structured data

Tommy W. S. Chow, Sitao Wu, M. K. M. Rahman, 2007, Pattern Recognit..

Prostate lesion detection and localization based on locality alignment discriminant analysis

Tommy W. S. Chow, Weifu Chen, Derek W. Cool, 2017, Medical Imaging.

Text style analysis using trace ratio criterion patch alignment embedding

Tommy W. S. Chow, Peng Tang, Ming-Bo Zhao, 2014, Neurocomputing.

A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives

Tommy W. S. Chow, Kwok-Leung Tsui, Yu Wang, 2014, IEEE Transactions on Industrial Informatics.

PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM

Tommy W. S. Chow, Yang Xu, Lu Xu, 2009, ICONIP.

Evaluating covariance in prognostic and system health management applications

Tommy W. S. Chow, Michael Pecht, Xiaohang Jin, 2015 .

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load

Tommy W. S. Chow, Sitao Wu, Kai Tat Ng, 2005, Neural Processing Letters.

A Two-Level Inspection Model With Technological Insertions

Tommy W. S. Chow, Wenbin Wang, Michael G. Pecht, 2012, IEEE Transactions on Reliability.

Automatic image annotation via compact graph based semi-supervised learning

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2015, Knowl. Based Syst..

Shape From Shading by Using Neural Based Colour Reflectance Model

Tommy W. S. Chow, Siu-Yeung Cho, Kai Tat Ng, 2004, Neural Processing Letters.

M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Cybernetics.

Enhanced feature selection models using gradient-based and point injection techniques

Tommy W. S. Chow, Di Huang, Zhaohui Gan, 2008, Neurocomputing.

A Hypergraph Model for Incorporating Social Interactions in Collaborative Filtering

Tommy W. S. Chow, Hadrien Van Lierde, T. Chow, 2017, DMCIT '17.

Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks

Tommy W. S. Chow, Guanrong Chen, Hadrien Van Lierde, 2020, IEEE Transactions on Knowledge and Data Engineering.

Support vector visualization and clustering using self-organizing map and vector one-class classification

Tommy W. S. Chow, Sitao Wu, T. Chow, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

A new dual wing harmonium model for document retrieval

Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman, 2009, Pattern Recognit..

Organizing Books and Authors by Multilayer SOM

Tommy W. S. Chow, Q. M. Jonathan Wu, Haijun Zhang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

NONLINEAR DILATION NETWORK FOR PREDICTION APPLICATIONS

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1994 .

A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape

Tommy W. S. Chow, Siu-Yeung Cho, 2004, Neural Processing Letters.

Generalization and Performance Enhancement

Tommy W. S. Chow, Siu-Yeung Cho, 2007 .

Heterogeneous feature subset selection using mutual information-based feature transformation

Tommy W. S. Chow, Min Wei, Rosa H. M. Chan, 2015, Neurocomputing.

Semiblind identification of nonminimum-phase ARMA models via order recursion with higher order cumulants

Tommy W. S. Chow, Hong-Zhou Tan, 1998, IEEE Trans. Ind. Electron..

Linear neural network based blind equalization

Tommy W. S. Chow, Yong Fang, Kai Tat Ng, 1999, Signal Process..

MD-based approaches for system health monitoring: a review

Tommy W. S. Chow, Yi Sun, Xiaohang Jin, 2017 .

Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer

Tommy W. S. Chow, Di Huang, T. Chow, 2007, Bioinform..

An iterative learning control method and mathematical model for robotic manipulation at undesired locations

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2005, Int. J. Comput. Integr. Manuf..

Blind adaptive identification of FIR channel in chaotic communication systems

Tommy W. S. Chow, Wang Bao-yun, K. T. Ng, 2004 .

Efficiently searching the important input variables using Bayesian discriminant

Tommy W. S. Chow, Di Huang, T. Chow, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Data Reduction for Pattern Recognition and Data Analysis

Tommy W. S. Chow, Di Huang, T. Chow, 2008, Computational Intelligence: A Compendium.

Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs

Tommy W. S. Chow, Jean-Charles Delvenne, Hadrien Van Lierde, 2018, J. Complex Networks.

A least third-order cumulants objective function

Tommy W. S. Chow, Chi-Tat Leung, Yat-Fung Yam, 1996, Neural Processing Letters.

On the Theoretical and Computational Analysis between SDA and Lap-LDA

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Induction machine fault detection using SOM-based RBF neural networks

Tommy W. S. Chow, Sitao Wu, T. Chow, 2004, IEEE Transactions on Industrial Electronics.

PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization

Tommy W. S. Chow, Yang Xu, Lu Xu, 2011, Neurocomputing.

PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map

Tommy W. S. Chow, Sitao Wu, T. Chow, 2005, IEEE Transactions on Neural Networks.

Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data

Tommy W. S. Chow, Shuang Wang, Xiaofei Xu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Least third-order cumulant method with adaptive regularization parameter selection for neural networks

Tommy W. S. Chow, Chi-Tat Leung, 2001, Artif. Intell..

Towards the Enhancement of Gene Selection Performance

Tommy W. S. Chow, Di Huang, T. Chow, 2008, Computational Intelligence in Bioinformatics.

Adaptive blind channel identification algorithm based on linear prediction for SIMO FIR systems

Tommy W. S. Chow, Bao-Yun Wang, K. T. Ng, 2002 .

An adaptive demodulator for the chaotic modulation communication system with RBF neural network

Tommy W. S. Chow, Jiuchao Feng, K. T. Ng, 2000 .

Learning to Match Clothing From Textual Feature-Based Compatible Relationships

Linlin Liu, Tommy W. S. Chow, Haijun Zhang, 2020, IEEE Transactions on Industrial Informatics.

A novel noise robust fourth-order cumulants cost function

Tommy W. S. Chow, Chi-Tat Leung, 1997, Neurocomputing.

Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information

Tommy W. S. Chow, Di Huang, T. Chow, 2005, IEEE Transactions on Neural Networks.

On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA

Tommy W. S. Chow, Zhao Zhang, Zhou Wu, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis

Tommy W. S. Chow, Yi Sun, Xiaohang Jin, 2014, Wireless Networks.

Face Matching in Large Database by Self-Organizing Maps

Tommy W. S. Chow, M. K. M. Rahman, T. Chow, 2006, Neural Processing Letters.

Searching optimal feature subset using mutual information

Tommy W. S. Chow, Di Huang, T. Chow, 2003, ESANN.

Quasi-sliding mode based repetitive control for nonlinear continuous-time systems with rejection of periodic disturbances

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2009, Autom..

An online cellular probabilistic self-organizing map for static and dynamic data sets

Tommy W. S. Chow, Sitao Wu, T. Chow, 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.

Weighted local and global regressive mapping: A new manifold learning method for machine fault classification

Tommy W. S. Chow, Fang Yuan, Xiaohang Jin, 2014, Eng. Appl. Artif. Intell..

Neural blind deconvolution of MIMO noisy channels

Tommy W. S. Chow, Yong Fang, 2001 .

Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory

Tommy W. S. Chow, Xiao-Dong Li, L. L. Cheng, 2013, Int. J. Syst. Sci..

Approximation of dynamical time-variant systems by continuous-time recurrent neural networks

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Bing Li, 2014, Neural Networks.

Computational accounting in determining Chart of Accounts using nominal data analysis and concept of entropy

Tommy W. S. Chow, P. Y. Wang, Chris W. F. Chiu, 2009, Expert Syst. Appl..

Image retrieval using an improved similarity measure: SRIC Similarity with Region Importance and Consistency

Tommy W. S. Chow, Mkm Rahman, 2014, 2014 17th International Conference on Computer and Information Technology (ICCIT).

Locality Constrained-ℓp Sparse Subspace Clustering for Image Clustering

Tommy W. S. Chow, Mingbo Zhao, Wenlong Cheng, 2016, Neurocomputing.

Synthesis of the sliding-mode neural network controller for unknown nonlinear discrete-time systems

Tommy W. S. Chow, Yong Fang, 2000, Int. J. Syst. Sci..

An exponential triangle model for the Facebook network based on big data

Tommy W. S. Chow, Dong Yang, Guanrong Chen, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

Determining initial weights of feedforward neural networks based on least squares method

Tommy W. S. Chow, Yat-Fung Yam, T. Chow, 1995, Neural Processing Letters.

Approach to Fault Identification for Electronic Products Using Mahalanobis Distance

Tommy W. S. Chow, Michael G. Pecht, Sachin Kumar, 2010, IEEE Transactions on Instrumentation and Measurement.

Analyzing rough set based attribute reductions by extension rule

Tommy W. S. Chow, Bing Li, Peng Tang, 2014, Neurocomputing.

A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks

Tommy W. S. Chow, Yong Fang, Xiao-Dong Li, 2000, IEEE Trans. Ind. Electron..

Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2015, IEEE Transactions on Knowledge and Data Engineering.

Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques

Tommy W. S. Chow, Di Huang, T. Chow, 2007, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization

Tommy W. S. Chow, Sitao Wu, T. Chow, 2007, IEEE Transactions on Neural Networks.

Blind equalization of a noisy channel by linear neural network

Tommy W. S. Chow, Yong Fang, Yong Fang, 1999, IEEE Trans. Neural Networks.

Mining language variation using word using and collocation characteristics

Tommy W. S. Chow, Peng Tang, T. Chow, 2014, Expert Syst. Appl..

Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection

Tommy W. S. Chow, M. K. M. Rahman, T. Chow, 2009, IEEE Transactions on Neural Networks.

Piecewise Linear Projection Based on Self-Organizing Map

Tommy W. S. Chow, Sitao Wu, 2004, Neural Processing Letters.

Network topological optimization for packet routing using multi-objective simulated annealing method

Tommy W. S. Chow, Wei Huang, 2010 .

Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index

Tommy W. S. Chow, Sitao Wu, 2004, Neural Processing Letters.

A coarse-to-fine framework to efficiently thwart plagiarism

Tommy W. S. Chow, Haijun Zhang, T. Chow, 2011, Pattern Recognit..

Robust face recognition using generalized neural reflectance model

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2006, Neural Computing & Applications.

Neural network piecewise linear preprocessing for time-series prediction

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1995, ESANN.

Online anomaly detection of brushless dc motor using current monitoring technique

Tommy W. S. Chow, Kwok-Leung Tsui, Xiaohang Jin, 2014 .

A New Feature Selection Scheme Using a Data Distribution Factor for Unsupervised Nominal Data

Tommy W. S. Chow, Piyang Wang, Eden W. M. Ma, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Shape recovery from shading by a new neural-based reflectance model

Tommy W. S. Chow, Siu-Yeung Cho, 1999, IEEE Trans. Neural Networks.

Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Pattern Recognit..

A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 1999, Neural Processing Letters.

Neural network based short-term load forecasting using weather compensation

Tommy W. S. Chow, C. T. Leung, T. Chow, 1996 .

Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Pattern Recognit..

Effective Gene Selection Method Using Bayesian Discriminant Based Criterion and Genetic Algorithms

Tommy W. S. Chow, Di Huang, Zhaohui Gan, 2008, J. Signal Process. Syst..

Contour Gradient Optimization

Tommy W. S. Chow, Yuhui Shi, Zhou Wu, 2020, Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems.

A new shifting grid clustering algorithm

Tommy W. S. Chow, Eden W. M. Ma, T. Chow, 2004, Pattern Recognit..

Extended least squares based algorithm for training feedforward networks

Tommy W. S. Chow, Jim Y. F. Yam, 1997, IEEE Trans. Neural Networks.

Improving the effectiveness of RBF classifier based on a hybrid cost function

Tommy W. S. Chow, Di Huang, T. Chow, 2007, Neural Computing and Applications.

A new feature selection scheme using data distribution factor for transactional data

Tommy W. S. Chow, Piyang Wang, 2007, ESANN.

Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2013, IEEE Transactions on Knowledge and Data Engineering.

A neural-learning-based reflectance model for 3-D shape reconstruction

Tommy W. S. Chow, Siu-Yeung Cho, 2000, IEEE Trans. Ind. Electron..

Measurement and evaluation of instantaneous reactive power using neural networks

Tommy W. S. Chow, Y. F. Yam, 1994 .

Probabilistic fault detector for Wireless Sensor Network

Tommy W. S. Chow, Eden W. M. Ma, Bill C. P. Lau, 2014, Expert Syst. Appl..

Locality Alignment Discriminant Analysis for Visualizing Regional English

Tommy W. S. Chow, Peng Tang, Ming-Bo Zhao, 2015, Neural Processing Letters.

A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics

Tommy W. S. Chow, Yong Fang, Yong Fang, 1998, IEEE Trans. Ind. Electron..

Correction to "Semiblind Identification of Nonminimum-Phase ARMA Models via Order Recursion with Higher Order Cumulants"

Tommy W. S. Chow, Hongzhou Tan, Oulian Shuai, 1999, IEEE Trans. Ind. Electron..

Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density

Tommy W. S. Chow, Sitao Wu, T. Chow, 2004, Pattern Recognit..

Nonlinear Dilation Network for Prediction Applications

Tommy W. S. Chow, Chi-Tat Leung, 1994 .

Random walk-based fuzzy linear discriminant analysis for dimensionality reduction

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Soft Comput..

Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine

Tommy W. S. Chow, Di Huang, Sitao Wu, 2006, IPCV.

Neural network application: rainfall forecasting system in Hong Kong

Tommy W. S. Chow, Siu-Yeung Cho, 1996, ESANN.

Sparse subspace clustering for data with missing entries and high-rank matrix completion

Jicong Fan, Tommy W. S. Chow, T. Chow, 2017, Neural Networks.

Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis

Tommy W. S. Chow, Jinyan Li, Di Huang, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Neural network adative wavelets for function approximation

Tommy W. S. Chow, Yong Fang, Yong Fang, 1997, ESANN.

Shape and surface measurement technology by an improved shape-from-shading neural algorithm

Tommy W. S. Chow, Siu-Yeung Cho, 2000, IEEE Trans. Ind. Electron..

Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations

Tommy W. S. Chow, Siu-Yeung Cho, Jim Y. F. Yam, 1999, Artif. Intell. Eng..

Chaotic network synchronization with application to communications

Tommy W. S. Chow, K. T. Ng, Jiu-Chao Feng, 2001, Int. J. Commun. Syst..

Effective feature selection scheme using mutual information

Tommy W. S. Chow, Di Huang, T. Chow, 2005, Neurocomputing.

A novel feature selection method and its application

Tommy W. S. Chow, Di Huang, Bing Li, 2013, Journal of Intelligent Information Systems.

Three phase induction machines asymmetrical faults identification using bispectrum

Tommy W. S. Chow, Gou Fei, T. Chow, 1995 .

Chattering free sliding mode control based on recurrent neural network

Tommy W. S. Chow, Yong Fang, Yong Fang, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

A new image classification technique using tree-structured regional features

Tommy W. S. Chow, M. K. M. Rahman, T. Chow, 2007, Neurocomputing.

Wavelets Based Neural Network for Function Approximation

Tommy W. S. Chow, Yong Fang, T. Chow, 2006, ISNN.

Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system

Tommy W. S. Chow, Xiaohang Jin, T. Chow, 2013, Expert Syst. Appl..

Guest editorial: special issue on the emerging applications of neural networks

Tommy W. S. Chow, John Sum, 2010, Neural Computing and Applications.

Vehicle route planning for logistics network optimization via multiple spanning tree

Tommy W. S. Chow, Kim Fung Tsang, Mingbo Zhao, 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

Rolling fault diagnosis via robust semi-supervised model with capped l2,1-norm regularization

Tommy W. S. Chow, Haijun Zhang, Mingbo Zhao, 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

Accelerated training algorithm for feedforward neural networks based on least squares method

Tommy W. S. Chow, Yat-Fung Yam, 2005, Neural Processing Letters.

Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2008, Int. J. Syst. Sci..

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2018, Neural Networks.

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation

Tommy W. S. Chow, Li Zhang, Shuicheng Yan, 2016, IEEE Transactions on Signal Processing.

Higher-Order Petri Net Models Based on Artificial Neural Networks

Tommy W. S. Chow, Jinyan Li, 1997, Artif. Intell..

Basis Function Networks for Classification

Tommy W. S. Chow, Siu-Yeung Cho, 2007 .

Clustering Heterogeneous Data with k-Means by Mutual Information-Based Unsupervised Feature Transformation

Tommy W. S. Chow, Min Wei, Rosa H. M. Chan, 2015, Entropy.

Tensor Locally Linear Discriminative Analysis

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2011, IEEE Signal Processing Letters.

A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks

Tommy W. S. Chow, Chi-Tat Leung, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Enhancing Density-Based Data Reduction Using Entropy

Tommy W. S. Chow, Di Huang, 2006, Neural Computation.

Incorporating word embeddings in the hierarchical dirichlet process for query-oriented text summarization

Tommy W. S. Chow, Hadrien Van Lierde, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

Content-based image retrieval by using tree-structured features and multi-layer self-organizing map

Tommy W. S. Chow, Sitao Wu, M. K. M. Rahman, 2006, Pattern Analysis and Applications.

Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction

Tommy W. S. Chow, Xiaolei Lu, T. Chow, 2021, IEEE Transactions on Knowledge and Data Engineering.

Blind identification of quadratic nonlinear models using neural networks with higher order cumulants

Tommy W. S. Chow, Hongzhou Tan, 2000, IEEE Trans. Ind. Electron..

Training Recurrent Neural Networks Using Optimization Layer-by- Layer Recursive Least Squares Algorithm for Vibration Signals System Identification and Fault Diagnostic Analysis

Tommy W. S. Chow, S.-Y. Cho, Y. Fang, 2001 .

Recurrent Sigma-Pi-linked back-propagation network

Tommy W. S. Chow, Gou Fei, 2006, Neural Processing Letters.

Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2020, IEEE Transactions on Big Data.

Failure Prediction of Hard Disk Drives Based on Adaptive Rao–Blackwellized Particle Filter Error Tracking Method

Tommy W. S. Chow, Yu Wang, Long He, 2021, IEEE Transactions on Industrial Informatics.

A High-Throughput Zebrafish Screening Method for Visual Mutants by Light-Induced Locomotor Response

Tommy W. S. Chow, Yuan Gao, Rosa H. M. Chan, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Mutual Information-Based Unsupervised Feature Transformation for Heterogeneous Feature Subset Selection pdf

Tommy W. S. Chow, Min Wei, Rosa H. M. Chan, 2014, ArXiv.

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2012, Neural Networks.

Exactly Robust Kernel Principal Component Analysis

Jicong Fan, Tommy W. S. Chow, T. Chow, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach

Tommy W. S. Chow, Gang Liu, Wenyin Liu, 2011, IEEE Transactions on Neural Networks.

Robust linearly optimized discriminant analysis

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2012, Neurocomputing.

Induction machine fault diagnostic analysis with wavelet technique

Tommy W. S. Chow, Shi Hai, T. Chow, 2004, IEEE Transactions on Industrial Electronics.

Non-linear matrix completion

Jicong Fan, Tommy W. S. Chow, T. Chow, 2017, Pattern Recognit..

Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels

Tommy W. S. Chow, Jianghong Ma, T. Chow, 2018, Inf. Sci..

A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining

Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman, 2010, Expert Syst. Appl..

A neural-based crowd estimation by hybrid global learning algorithm

Tommy W. S. Chow, Siu-Yeung Cho, Chi-Tat Leung, 1999, IEEE Trans. Syst. Man Cybern. Part B.

Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning

Tommy W. S. Chow, Zhao Zhang, Ming-Bo Zhao, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks

Tommy W. S. Chow, Siu-Yeung Cho, 2004, Neural Processing Letters.

A Neural Network Based Shape-from-Shading Measuring Technique for Engineering Industries

Tommy W. S. Chow, Siu-Yeung Cho, John K. L. Ho, 2001 .

Topology-Based Clustering Using Polar Self-Organizing Map

Tommy W. S. Chow, Lu Xu, Eden W. M. Ma, 2015, IEEE Transactions on Neural Networks and Learning Systems.

An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data

Tommy W. S. Chow, Yu Wang, Yanyang Zi, 2019, IEEE Transactions on Instrumentation and Measurement.

Learning Performance and Enhancement

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2007 .

Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2017, Neural Processing Letters.

Neural Networks and Computing - Learning Algorithms and Applications

Tommy W. S. Chow, Siu-Yeung Cho, 2007, Series in Electrical and Computer Engineering.

Neural computation approach for developing a 3D shape reconstruction model

Tommy W. S. Chow, Siu-Yeung Cho, 2001, IEEE Trans. Neural Networks.

Feedforward Neural Networks Based Input-Output Models for Railway Carriage System Identification

Tommy W. S. Chow, Oulian Shuai, 2004, Neural Processing Letters.

Intelligent machine fault detection using SOM based RBF neural networks

Tommy W. S. Chow, Sitao Wu, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field

Tommy W. S. Chow, Peng Tang, 2016, IEEE Transactions on Industrial Informatics.

Industrial neural vision system for underground railway station platform surveillance

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2002, Adv. Eng. Informatics.

Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation

Tommy W. S. Chow, Zhao Zhang, T. Chow, 2012, Expert Syst. Appl..

Naming Game with Multiple Hearers

Tommy W. S. Chow, Guanrong Chen, Bing Li, 2013, Commun. Nonlinear Sci. Numer. Simul..

Induction machine fault detection using clone selection programming

Tommy W. S. Chow, Ming-Bo Zhao, Zhaohui Gan, 2009, Expert Syst. Appl..

Content-based hierarchical document organization using multi-layer hybrid network and tree-structured features

Tommy W. S. Chow, M. K. M. Rahman, 2010, Expert Syst. Appl..

Neurocomputing Research Developments

Tommy W. S. Chow, Lokendra Shastri, James A. Reggia, 2007 .

Cell-Splitting Grid: A Self-Creating and Self-Organizing Neural Network

Tommy W. S. Chow, Sitao Wu, 2004, Neurocomputing.

Multivariate data classification using PolSOM

Lu Xu, Tommy W. S. Chow, T. Chow, 2011, 2011 Prognostics and System Health Managment Confernece.

Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia

Tommy W. S. Chow, Peng Tang, Rosa H. M. Chan, 2013, IEEE Signal Processing Letters.

Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model

Tommy W. S. Chow, Siu-Yeung Cho, 2001, Neural Computation.

Nonlinear dynamical systems control using a new RNN temporal learning strategy

Tommy W. S. Chow, Yong Fang, Yong Fang, 2005, IEEE Transactions on Circuits and Systems II: Express Briefs.

Adaptive Regularization Parameter Selection Method for Enhancing Generalization Capability of Neural Networks

Tommy W. S. Chow, Chi-Tat Leung, T. Chow, 1999, Artif. Intell..

Classification and Feature Selection

Tommy W. S. Chow, Siu-Yeung Cho, T. Chow, 2007 .

2-D system theory based iterative learning control for linear continuous systems with time delays

Tommy W. S. Chow, Xiao-Dong Li, John K. L. Ho, 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

Monotone submodular subset for sentiment analysis of online reviews

Tommy W. S. Chow, Yang Zhao, 2021, Neural Comput. Appl..

Opinion subset selection via submodular maximization

Tommy W. S. Chow, Yang Zhao, 2021, Inf. Sci..

Double-regularization approach for blind restoration of multichannel imagery

Tommy W. S. Chow, K. T. Ng, Xiao-Dong Li, 2001 .

Orthogonal wavelet neural networks applying to identification of Wiener model

Tommy W. S. Chow, Yong Fang, Yong Fang, 2000 .

An accelerated recurrent network training algorithm using IIR filter model and recursive least squares method

Tommy W. S. Chow, Siu-Yeung Cho, 1997 .

Nonlinear System Representation

Tommy W. S. Chow, Yong Fang, T. Chow, 1999 .

Iterative learning control for linear time-variant discrete systems based on 2-D system theory

Tommy W. S. Chow, John K. L. Ho, Xiao-Dong Li, 2005 .

Extended backpropagation algorithm

Tommy W. S. Chow, Y. F. Yam, 1993 .

Iterative learning control with initial rectifying action for nonlinear continuous systems

Tommy W. S. Chow, John K. L. Ho, Jun Zhang, 2009 .

Improved blind image restoration scheme using recurrent filtering

Tommy W. S. Chow, Siu-Yeung Cho, Xiao-Dong Li, 2000 .

Linear prediction based multipath channel identification algorithm

Tommy W. S. Chow, Bao-Yun Wang, K. T. Ng, 2003 .

A local multiobjective optimization algorithm using neighborhood field

Tommy W. S. Chow, T. Chow, Zhou Wu, 2012 .