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| 2012 | ||
|---|---|---|
| 94 | Zhao Zhang, Tommy W. S. Chow: Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation. Expert Syst. Appl. 39(1): 849-860 (2012) | |
| 93 | Haijun Zhang, Tommy W. S. Chow: A multi-level matching method with hybrid similarity for document retrieval. Expert Syst. Appl. 39(3): 2710-2719 (2012) | |
| 92 | Zhao Zhang, Tommy W. S. Chow: Robust linearly optimized discriminant analysis. Neurocomputing 79: 140-157 (2012) | |
| 91 | Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow: Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. Pattern Recognition 45(4): 1482-1499 (2012) | |
| 90 | Haijun Zhang, Q. M. Jonathan Wu, Tommy W. S. Chow, Ming-Bo Zhao: A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition. Pattern Recognition 45(5): 1866-1876 (2012) | |
| 2011 | ||
| 89 | Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow: ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. IJCNN 2011: 145-152 | |
| 88 | Zhao Zhang, Tommy W. S. Chow: Tensor Locally Linear Discriminative Analysis. IEEE Signal Process. Lett. 18(11): 643-646 (2011) | |
| 87 | Haijun Zhang, Gang Liu, Tommy W. S. Chow, Wenyin Liu: Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach. IEEE Transactions on Neural Networks 22(10): 1532-1546 (2011) | |
| 86 | Tommy W. S. Chow, John Sum: Guest editorial: special issue on the emerging applications of neural networks. Neural Computing and Applications 20(7): 923-924 (2011) | |
| 85 | Yang Xu, Lu Xu, Tommy W. S. Chow: PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization. Neurocomputing 74(11): 2018-2027 (2011) | |
| 84 | Haijun Zhang, Tommy W. S. Chow: A coarse-to-fine framework to efficiently thwart plagiarism. Pattern Recognition 44(2): 471-487 (2011) | |
| 2010 | ||
| 83 | Lu Xu, Tommy W. S. Chow: High Dimensional Data Classification by the PolSOM Algorithm. DMIN 2010: 308-312 | |
| 82 | M. K. M. Rahman, Tommy W. S. Chow, Siu-Yeung Cho: A segmentation based approach for shape recovery from multi-color images. ICARCV 2010: 659-663 | |
| 81 | M. K. M. Rahman, Tommy W. S. Chow: Content-based hierarchical document organization using multi-layer hybrid network and tree-structured features. Expert Syst. Appl. 37(4): 2874-2881 (2010) | |
| 80 | Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman: A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining. Expert Syst. Appl. 37(6): 4403-4412 (2010) | |
| 79 | Lu Xu, Tommy W. S. Chow: Self-organizing potential field network: a new optimization algorithm. IEEE Transactions on Neural Networks 21(9): 1482-1495 (2010) | |
| 78 | Lu Xu, Yang Xu, Tommy W. S. Chow: PolSOM: A new method for multidimensional data visualization. Pattern Recognition 43(4): 1668-1675 (2010) | |
| 2009 | ||
| 77 | Yang Xu, Lu Xu, Tommy W. S. Chow, Anthony Shi-Sheung Fong: PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM. ICONIP (1) 2009: 212-220 | |
| 76 | 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) | |
| 75 | Tommy W. S. Chow, Haijun Zhang, M. K. M. Rahman: A new document representation using term frequency and vectorized graph connectionists with application to document retrieval. Expert Syst. Appl. 36(10): 12023-12035 (2009) | |
| 74 | Zhaohui Gan, Tommy W. S. Chow, W. N. Chau: Clone selection programming and its application to symbolic regression. Expert Syst. Appl. 36(2): 3996-4005 (2009) | |
| 73 | P. Y. Wang, Tommy W. S. Chow, Chris W. F. Chiu: Computational accounting in determining Chart of Accounts using nominal data analysis and concept of entropy. Expert Syst. Appl. 36(3): 6966-6977 (2009) | |
| 72 | Zhaohui Gan, Ming-Bo Zhao, Tommy W. S. Chow: Induction machine fault detection using clone selection programming. Expert Syst. Appl. 36(4): 8000-8012 (2009) | |
| 71 | Tommy W. S. Chow, M. K. M. Rahman: Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection. IEEE Transactions on Neural Networks 20(9): 1385-1402 (2009) | |
| 70 | Haijun Zhang, Tommy W. S. Chow, M. K. M. Rahman: A new dual wing harmonium model for document retrieval. Pattern Recognition 42(11): 2950-2960 (2009) | |
| 2008 | ||
| 69 | D. Huang, Tommy W. S. Chow: Towards the Enhancement of Gene Selection Performance. Computational Intelligence in Bioinformatics 2008: 219-236 | |
| 68 | Tommy W. S. Chow, Di Huang: Data Reduction for Pattern Recognition and Data Analysis. Computational Intelligence: A Compendium 2008: 81-109 | |
| 67 | 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) | |
| 66 | Xiao-Dong Li, Tommy W. S. Chow, John K. L. Ho: Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays. Int. J. Systems Science 39(4): 361-369 (2008) | |
| 65 | 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 | ||
| 64 | Piyang Wang, Tommy W. S. Chow: A new feature selection scheme using data distribution factor for transactional data. ESANN 2007: 169-174 | |
| 63 | 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) | |
| 62 | 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) | |
| 61 | 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) | |
| 60 | 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) | |
| 59 | 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) | |
| 58 | 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 | ||
| 57 | D. Huang, Tommy W. S. Chow: An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques. ICONIP (2) 2006: 679-692 | |
| 56 | 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 | |
| 55 | Yong Fang, Tommy W. S. Chow: Wavelets Based Neural Network for Function Approximation. ISNN (1) 2006: 80-85 | |
| 54 | D. Huang, Tommy W. S. Chow: Enhancing Density-Based Data Reduction Using Entropy. Neural Computation 18(2): 470-495 (2006) | |
| 53 | Siu-Yeung Cho, Tommy W. S. Chow: Robust face recognition using generalized neural reflectance model. Neural Computing and Applications 15(2): 170-182 (2006) | |
| 52 | 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) | |
| 51 | 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) | |
| 50 | 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) | |
| 49 | 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 | ||
| 48 | Tommy W. S. Chow, D. Huang: Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information. IEEE Transactions on Neural Networks 16(1): 213-224 (2005) | |
| 47 | Sitao Wu, Tommy W. S. Chow: PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map. IEEE Transactions on Neural Networks 16(6): 1362-1380 (2005) | |
| 46 | 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) | |
| 45 | D. Huang, Tommy W. S. Chow: Effective feature selection scheme using mutual information. Neurocomputing 63: 325-343 (2005) | |
| 44 | 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 | ||
| 43 | Tommy W. S. Chow, Sitao Wu: Cell-splitting grid: a self-creating and self-organizing neural network. Neurocomputing 57: 373-387 (2004) | |
| 42 | 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) | |
| 41 | Eden W. M. Ma, Tommy W. S. Chow: A new shifting grid clustering algorithm. Pattern Recognition 37(3): 503-514 (2004) | |
| 2003 | ||
| 40 | D. Huang, Tommy W. S. Chow: Searching optimal feature subset using mutual information. ESANN 2003: 161-166 | |
| 39 | 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) | |
| 38 | 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) | |
| 37 | 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 | ||
| 36 | 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) | |
| 35 | 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) | |
| 34 | 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) | |
| 33 | Tommy W. S. Chow, Sitao Wu: Piecewise Linear Projection Based on Self Organizing Map. Neural Processing Letters 16(2): 151-163 (2002) | |
| 2001 | ||
| 32 | 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) | |
| 31 | Jim Y. F. Yam, Tommy W. S. Chow: Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients. IEEE Transactions on Neural Networks 12(2): 430-434 (2001) | |
| 30 | Siu-Yeung Cho, Tommy W. S. Chow: Neural computation approach for developing a 3D shape reconstruction model. IEEE Transactions on Neural Networks 12(5): 1204-1214 (2001) | |
| 29 | 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 | ||
| 28 | Siu-Yeung Cho, Tommy W. S. Chow: Learning parametric specular reflectance model by radial basis function network. IEEE Trans. Neural Netw. Learning Syst. 11(6): 1498-1503 (2000) | |
| 27 | Yong Fang, Tommy W. S. Chow: Synthesis of the sliding-mode neural network controller for unknown nonlinear discrete-time systems. Int. J. Systems Science 31(3): 401-408 (2000) | |
| 26 | 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) | |
| 25 | Tommy W. S. Chow, Yong Fang: Two-dimensional learning strategy for multilayer feedforward neural network. Neurocomputing 34(1-4): 195-206 (2000) | |
| 1999 | ||
| 24 | 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) | |
| 23 | 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) | |
| 22 | 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) | |
| 21 | 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) | |
| 20 | 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) | |
| 19 | 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) | |
| 18 | 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) | |
| 17 | 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) | |
| 16 | Yong Fang, Tommy W. S. Chow, Kai Tat Ng: Linear neural network based blind equalization. Signal Processing 76(1): 37-42 (1999) | |
| 1998 | ||
| 15 | Yong Fang, Tommy W. S. Chow: Iterative Learning Control of Linear Discrete-Time Multivariable Systems. Automatica 34(11): 1459-1462 (1998) | |
| 14 | 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 | ||
| 13 | Yong Fang, Tommy W. S. Chow: Neural network adative wavelets for function approximation. ESANN 1997 | |
| 12 | 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) | |
| 11 | 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) | |
| 10 | 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) | |
| 9 | 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) | |
| 8 | Chi-Tat Leung, Tommy W. S. Chow: A novel noise robust fourth-order cumulants cost function. Neurocomputing 16(2): 139-147 (1997) | |
| 7 | Tommy W. S. Chow, Hong-Zhou Tan, Gou Fei: Third-order cumulant RLS algorithm for nonminimum ARMA systems identification. Signal Processing 61(1): 23-38 (1997) | |
| 1996 | ||
| 6 | Tommy W. S. Chow, Siu-Yeung Cho: Neural network application: rainfall forecasting system in Hong Kong. ESANN 1996 | |
| 5 | 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) | |
| 1995 | ||
| 4 | Tommy W. S. Chow, Chi-Tat Leung: Neural network piecewise linear preprocessing for time-series prediction. ESANN 1995 | |
| 3 | Yat-Fung Yam, Tommy W. S. Chow: Determining initial weights of feedforward neural networks based on least squares method. Neural Processing Letters 2(2): 13-17 (1995) | |
| 2 | Yat-Fung Yam, Tommy W. S. Chow: Accelerated training algorithm for feedforward neural networks based on least squares method. Neural Processing Letters 2(4): 20-25 (1995) | |
| 1994 | ||
| 1 | Tommy W. S. Chow, Gou Fei: Recurrent Sigma-Pi-linked back-propagation network. Neural Processing Letters 1(2): 5-8 (1994) | |
Colors in the list of coauthors
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