2009 |
56 | EE | Xiao-Dong Li,
Tommy W. S. Chow,
John K. L. Ho:
Quasi-sliding mode based repetitive control for nonlinear continuous-time systems with rejection of periodic disturbances.
Automatica 45(1): 103-108 (2009) |
2008 |
55 | EE | D. Huang,
Tommy W. S. Chow:
Towards the Enhancement of Gene Selection Performance.
Computational Intelligence in Bioinformatics 2008: 219-236 |
54 | EE | Tommy W. S. Chow,
Di Huang:
Data Reduction for Pattern Recognition and Data Analysis.
Computational Intelligence: A Compendium 2008: 81-109 |
53 | EE | Tommy W. S. Chow,
Piyang Wang,
Eden W. M. Ma:
A New Feature Selection Scheme Using a Data Distribution Factor for Unsupervised Nominal Data.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(2): 499-509 (2008) |
52 | EE | Zhaohui Gan,
Tommy W. S. Chow,
D. Huang:
Effective Gene Selection Method Using Bayesian Discriminant Based Criterion and Genetic Algorithms.
Signal Processing Systems 50(3): 293-304 (2008) |
2007 |
51 | EE | Piyang Wang,
Tommy W. S. Chow:
A new feature selection scheme using data distribution factor for transactional data.
ESANN 2007: 169-174 |
50 | EE | D. Huang,
Tommy W. S. Chow:
Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer.
Bioinformatics 23(12): 1503-1510 (2007) |
49 | EE | Sitao Wu,
Tommy W. S. Chow:
Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization.
IEEE Transactions on Neural Networks 18(2): 385-396 (2007) |
48 | EE | D. Huang,
Tommy W. S. Chow:
Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques.
IEEE/ACM Trans. Comput. Biology Bioinform. 4(3): 467-475 (2007) |
47 | EE | D. Huang,
Tommy W. S. Chow:
Improving the effectiveness of RBF classifier based on a hybrid cost function.
Neural Computing and Applications 16(4-5): 395-405 (2007) |
46 | EE | Tommy W. S. Chow,
M. K. M. Rahman:
A new image classification technique using tree-structured regional features.
Neurocomputing 70(4-6): 1040-1050 (2007) |
45 | EE | M. K. M. Rahman,
Wang Pi Yang,
Tommy W. S. Chow,
Sitao Wu:
A flexible multi-layer self-organizing map for generic processing of tree-structured data.
Pattern Recognition 40(5): 1406-1424 (2007) |
2006 |
44 | EE | D. Huang,
Tommy W. S. Chow:
An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques.
ICONIP (2) 2006: 679-692 |
43 | | Sitao Wu,
Tommy W. S. Chow,
Di Huang:
Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine.
IPCV 2006: 138-144 |
42 | EE | Yong Fang,
Tommy W. S. Chow:
Wavelets Based Neural Network for Function Approximation.
ISNN (1) 2006: 80-85 |
41 | EE | D. Huang,
Tommy W. S. Chow:
Enhancing Density-Based Data Reduction Using Entropy.
Neural Computation 18(2): 470-495 (2006) |
40 | EE | Siu-Yeung Cho,
Tommy W. S. Chow:
Robust face recognition using generalized neural reflectance model.
Neural Computing and Applications 15(2): 170-182 (2006) |
39 | EE | Sitao Wu,
Tommy W. S. Chow,
Kai Tat Ng,
Kim Fung Tsang:
Improvement of borrowing channel assignment for patterned traffic load by online cellular probabilistic self-organizing map.
Neural Computing and Applications 15(3-4): 298-309 (2006) |
38 | EE | Sitao Wu,
Tommy W. S. Chow,
Kai Tat Ng:
Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load.
Neural Processing Letters 23(1): 71-88 (2006) |
37 | EE | Tommy W. S. Chow,
M. K. M. Rahman:
Face Matching in Large Database by Self-Organizing Maps.
Neural Processing Letters 23(3): 305-323 (2006) |
36 | EE | Tommy W. S. Chow,
M. K. M. Rahman,
Sitao Wu:
Content-based image retrieval by using tree-structured features and multi-layer self-organizing map.
Pattern Anal. Appl. 9(1): 1-20 (2006) |
2005 |
35 | EE | Xiao-Dong Li,
John K. L. Ho,
Tommy W. S. Chow:
An iterative learning control method and mathematical model for robotic manipulation at undesired locations.
Int. J. Computer Integrated Manufacturing 18(6): 480-486 (2005) |
34 | EE | D. Huang,
Tommy W. S. Chow:
Effective feature selection scheme using mutual information.
Neurocomputing 63: 325-343 (2005) |
33 | EE | Sitao Wu,
M. K. M. Rahman,
Tommy W. S. Chow:
Content-based image retrieval using growing hierarchical self-organizing quadtree map.
Pattern Recognition 38(5): 707-722 (2005) |
2004 |
32 | EE | Tommy W. S. Chow,
Sitao Wu:
Cell-splitting grid: a self-creating and self-organizing neural network.
Neurocomputing 57: 373-387 (2004) |
31 | EE | Sitao Wu,
Tommy W. S. Chow:
Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density.
Pattern Recognition 37(2): 175-188 (2004) |
30 | EE | Eden W. M. Ma,
Tommy W. S. Chow:
A new shifting grid clustering algorithm.
Pattern Recognition 37(3): 503-514 (2004) |
2003 |
29 | EE | D. Huang,
Tommy W. S. Chow:
Searching optimal feature subset using mutual information.
ESANN 2003: 161-166 |
28 | EE | Bao-Yun Wang,
Tommy W. S. Chow,
Kai Tat Ng:
Adaptive Identification Algorithms for AR System Driven by Chaotic Sequence.
I. J. Bifurcation and Chaos 13(4): 963-972 (2003) |
27 | | Sitao Wu,
Tommy W. S. Chow:
Self-Organizing-Map Based Clustering Using a Local Clustering Validity Index.
Neural Processing Letters 17(3): 253-271 (2003) |
26 | | D. Huang,
Tommy W. S. Chow:
A People-Counting System Using a Hybrid RBF Neural Network.
Neural Processing Letters 18(2): 97-113 (2003) |
2002 |
25 | EE | Tommy W. S. Chow,
Siu-Yeung Cho:
Industrial neural vision system for underground railway station platform surveillance.
Advanced Engineering Informatics 16(1): 73-83 (2002) |
24 | EE | Siu-Yeung Cho,
Tommy W. S. Chow:
A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method.
Neural Computation 14(11): 2751-2789 (2002) |
23 | | Siu-Yeung Cho,
Tommy W. S. Chow,
Kai Tat Ng:
Shape From Shading by Using Neural Based Colour Reflectance Model.
Neural Processing Letters 16(2): 121-136 (2002) |
22 | | Tommy W. S. Chow,
Sitao Wu:
Piecewise Linear Projection Based on Self Organizing Map.
Neural Processing Letters 16(2): 151-163 (2002) |
2001 |
21 | EE | Chi-Tat Leung,
Tommy W. S. Chow:
Least third-order cumulant method with adaptive regularization parameter selection for neural networks.
Artif. Intell. 127(2): 169-197 (2001) |
20 | EE | Siu-Yeung Cho,
Tommy W. S. Chow:
Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model.
Neural Computation 13(11): 2617-263 (2001) |
2000 |
19 | EE | Yong Fang,
Tommy W. S. Chow:
Synthesis of the sliding-mode neural network controller for unknown nonlinear discrete-time systems.
Int. J. System Science 31(3): 401-408 (2000) |
18 | EE | Jim Y. F. Yam,
Tommy W. S. Chow:
A weight initialization method for improving training speed in feedforward neural network.
Neurocomputing 30(1-4): 219-232 (2000) |
17 | EE | Tommy W. S. Chow,
Yong Fang:
Two-dimensional learning strategy for multilayer feedforward neural network.
Neurocomputing 34(1-4): 195-206 (2000) |
1999 |
16 | EE | Tommy W. S. Chow,
Jim Y. F. Yam,
Siu-Yeung Cho:
Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations.
AI in Engineering 13(3): 301-307 (1999) |
15 | EE | Chi-Tat Leung,
Tommy W. S. Chow:
Adaptive Regularization Parameter Selection Method for Enhancing Generalization Capability of Neural Networks.
Artif. Intell. 107(2): 347-356 (1999) |
14 | EE | Yong Fang,
Tommy W. S. Chow:
Blind equalization of a noisy channel by linear neural network.
IEEE Transactions on Neural Networks 10(4): 918-924 (1999) |
13 | EE | Siu-Yeung Cho,
Tommy W. S. Chow:
Shape recovery from shading by a new neural-based reflectance model.
IEEE Transactions on Neural Networks 10(6): 1536-1541 (1999) |
12 | | Siu-Yeung Cho,
Tommy W. S. Chow,
Chi-Tat Leung:
A neural-based crowd estimation by hybrid global learning algorithm.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(4): 535-541 (1999) |
11 | | Siu-Yeung Cho,
Tommy W. S. Chow:
A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform.
Neural Processing Letters 10(2): 111-120 (1999) |
10 | | Siu-Yeung Cho,
Tommy W. S. Chow:
A Fast Heuristic Global Learning Algorithm for Multilayer Neural Networks.
Neural Processing Letters 9(2): 177-187 (1999) |
9 | EE | Siu-Yeung Cho,
Tommy W. S. Chow:
Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods.
Neurocomputing 25(1-3): 115-131 (1999) |
1998 |
8 | | Siu-Yeung Cho,
Tommy W. S. Chow:
A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape.
Neural Processing Letters 7(1): 15-25 (1998) |
1997 |
7 | | Yong Fang,
Tommy W. S. Chow:
Neural network adative wavelets for function approximation.
ESANN 1997 |
6 | EE | Tommy W. S. Chow,
Jin-Yan Li:
Higher-Order Petri Net Models Based on Artificial Neural Networks.
Artif. Intell. 92(1-2): 289-300 (1997) |
5 | | Siu-Yeung Cho,
Tommy W. S. Chow:
Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting System in Hong Kong.
Neural Computing and Applications 5(2): 66-75 (1997) |
4 | | Tommy W. S. Chow,
Oulian Shuai:
Feedforward Neural Networks Based Input-Output Models for Railway Carriage System Identification.
Neural Processing Letters 5(2): 57-67 (1997) |
3 | EE | Jim Y. F. Yam,
Tommy W. S. Chow,
Chi-Tat Leung:
A new method in determining initial weights of feedforward neural networks for training enhancement.
Neurocomputing 16(1): 23-32 (1997) |
2 | EE | Chi-Tat Leung,
Tommy W. S. Chow:
A novel noise robust fourth-order cumulants cost function.
Neurocomputing 16(2): 139-147 (1997) |
1996 |
1 | | Chi-Tat Leung,
Tommy W. S. Chow,
Yat-Fung Yam:
A Least Third-Order Cumulants Objective Function.
Neural Processing Letters 3(2): 91-99 (1996) |