A new feature selection method for Gaussian mixture clustering
暂无分享,去创建一个
[1] David J. C. MacKay,et al. Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.
[2] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[3] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[4] Jianping Fan,et al. Semantic principal video shot classification via mixture Gaussian , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).
[5] Carla E. Brodley,et al. Feature Selection for Unsupervised Learning , 2004, J. Mach. Learn. Res..
[6] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[7] Huan Liu,et al. Feature selection for clustering - a filter solution , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[8] Xuelong Li,et al. Which Components are Important for Interactive Image Searching? , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[9] Xuelong Li,et al. Discriminant Locally Linear Embedding With High-Order Tensor Data , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[10] Anil K. Jain,et al. Simultaneous feature selection and clustering using mixture models , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[12] Yiu-ming Cheung,et al. Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection , 2007, 2007 International Joint Conference on Neural Networks.
[13] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[14] Daphne Koller,et al. Toward Optimal Feature Selection , 1996, ICML.
[15] L. Goddard. Information Theory , 1962, Nature.
[16] Aristidis Likas,et al. Bayesian feature and model selection for Gaussian mixture models , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[18] C. A. Murthy,et al. Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Yiu-ming Cheung. A rival penalized EM algorithm towards maximizing weighted likelihood for density mixture clustering with automatic model selection , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[20] B. Ripley,et al. Pattern Recognition , 1968, Nature.
[21] Huan Liu,et al. Efficiently handling feature redundancy in high-dimensional data , 2003, KDD '03.
[22] Yiu-ming Cheung,et al. Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection , 2005, IEEE Transactions on Knowledge and Data Engineering.
[23] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Carla E. Brodley,et al. Visualization and interactive feature selection for unsupervised data , 2000, KDD '00.
[25] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[26] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[27] Xuelong Li,et al. Direct kernel biased discriminant analysis: a new content-based image retrieval relevance feedback algorithm , 2006, IEEE Transactions on Multimedia.