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Yiu-ming Cheung

Papers on DiSC'06


Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection

On rival penalization controlled competitive learning for clustering with automatic cluster number selection

Publications


Note: Links lead to the DBLP on the Web.

Yiu-ming Cheung

Hao-Tian Wu , Yiu-ming Cheung: A New Fragile Mesh Watermarking Algorithm for Authentication. SEC 2005 : 509-524

Hao-Tian Wu , Yiu-ming Cheung: A Reversible Data Hiding Approach to Mesh Authentication. Web Intelligence 2005 : 774-777

Yiu-ming Cheung: On Rival Penalization Controlled Competitive Learning for Clustering with Automatic Cluster Number Selection. IEEE Trans. Knowl. Data Eng. 17 (11): 1583-1588 (2005)

Yiu-ming Cheung: Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection. IEEE Trans. Knowl. Data Eng. 17 (6): 750-761 (2005)

Xing-Ming Zhao , Yiu-ming Cheung, De-Shuang Huang : A novel approach to extracting features from motif content and protein composition for protein sequence classification. Neural Networks 18 (8): 1019-1028 (2005)

Yiu-ming Cheung, Rong-bo Huang : A Divide-and-Conquer Learning Approach to Radial Basis Function Networks. Neural Processing Letters 21 (3): 189-206 (2005)

Yiu-ming Cheung: A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection. ICPR (4) 2004 : 633-636

Xing-Ming Zhao , De-Shuang Huang , Yiu-ming Cheung, Hong-Qiang Wang , Xin Huang : A Novel Hybrid GA/SVM System for Protein Sequences Classification. IDEAL 2004 : 11-16

Jiming Liu , Yiu-ming Cheung, Hujun Yin : Intelligent Data Engineering and Automated Learning, 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003, Revised Papers Springer 2003

Yiu-ming Cheung: Expectation-MiniMax Approach to Clustering Analysis. ICANN 2003 : 165-172

Rong-bo Huang , Yiu-ming Cheung: A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting. IDEAL 2003 : 143-150

Yiu-ming Cheung, Lei Xu : Dual multivariate auto-regressive modeling in state space for temporal signal separation. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33 (3): 386-398 (2003)

Yiu-ming Cheung, Lei Xu : Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation". IEEE Transactions on Systems, Man, and Cybernetics, Part B 33 (5): 835-835 (2003)

Yiu-ming Cheung, Lei Xu : Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm. Neurocomputing 50 : 87-103 (2003)

Yiu-ming Cheung: k*-Means: A new generalized k-means clustering algorithm. Pattern Recognition Letters 24 (15): 2883-2893 (2003)

Yiu-ming Cheung: k-Means - A Generalized k-Means Clustering Algorithm with Unknown Cluster Number. IDEAL 2002 : 307-317

Yiu-ming Cheung: Dual Auto-Regressive Modelling Approach To Gaussian Process Identification. ICME 2001

Yiu-ming Cheung, Lei Xu : Independent component ordering in ICA time series analysis. Neurocomputing 41 (1-4): 145-152 (2001)

Yiu-ming Cheung, Lei Xu : A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States. IJCNN (4) 2000 : 3-8

Yiu-ming Cheung, Lei Xu : Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation. Int. J. Neural Syst. 10 (6): 483-490 (2000)

Yiu-ming Cheung, Lei Xu : The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis. NSIP 1999 : 793-797

Yiu-ming Cheung, Lei Xu : Rival Penalized Competitive Learning Based Separator on Binary Sources Separation. ICONIP 1998 : 903-906

Yiu-ming Cheung, Wai-Man Leung , Lei Xu : Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment. Int. J. Neural Syst. 8 (5-6): 517-534 (1997)

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