Self organizing maps with the correntropy induced metric
暂无分享,去创建一个
[1] Ralph Linsker,et al. How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output Signals , 1989, Neural Computation.
[2] M. V. Velzen,et al. Self-organizing maps , 2007 .
[3] Helge J. Ritter,et al. Neural computation and self-organizing maps - an introduction , 1992, Computation and neural systems series.
[4] Paul L. Zador,et al. Asymptotic quantization error of continuous signals and the quantization dimension , 1982, IEEE Trans. Inf. Theory.
[5] Hujun Yin,et al. On the equivalence between kernel self-organising maps and self-organising mixture density networks , 2006, Neural Networks.
[6] Colin Fyfe,et al. The kernel self-organising map , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).
[7] Teuvo Kohonen,et al. Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.
[8] John W. Fisher,et al. Learning from Examples with Information Theoretic Criteria , 2000, J. VLSI Signal Process..
[9] Marc M. Van Hulle,et al. Kernel-based topographic map formation achieved with an information-theoretic approach , 2002, Neural Networks.
[10] Hujun Yin,et al. Self-organizing mixture networks for probability density estimation , 2001, IEEE Trans. Neural Networks.
[11] Marc M. Van Hulle,et al. Faithful Representations and Topographic Maps: From Distortion- to Information-Based Self-Organization , 2000 .
[12] Weifeng Liu,et al. Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.
[13] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[14] José Carlos Príncipe,et al. Generalized correlation function: definition, properties, and application to blind equalization , 2006, IEEE Transactions on Signal Processing.
[15] Hujun Yin,et al. Kernel self-organising maps for classification , 2006, Neurocomputing.
[16] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[17] T. Heskes. Energy functions for self-organizing maps , 1999 .
[18] Octavia I. Camps,et al. Weighted Parzen Windows for Pattern Classification , 1996, IEEE Trans. Pattern Anal. Mach. Intell..