Vector quantization using information theoretic concepts
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Deniz Erdogmus | José Carlos Príncipe | Anant Hegde | Tue Lehn-Schiøler | Deniz Erdoğmuş | J. Príncipe | A. Hegde | T. Lehn-Schiøler
[1] Andrew Chi-Sing Leung,et al. Yet another algorithm which can generate topography map , 1997, IEEE Trans. Neural Networks.
[2] Robert M. Gray,et al. An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..
[3] Richard Durbin,et al. An analogue approach to the travelling salesman problem using an elastic net method , 1987, Nature.
[4] Jouko Lampinen,et al. On the generative probability density model in the self-organizing map , 2002, Neurocomputing.
[5] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[6] Marc M Van Hulle. Kernel-based topographic map formation achieved with an information-theoretic approach. , 2002, Neural networks : the official journal of the International Neural Network Society.
[7] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[8] J. Mercer. Functions of positive and negative type, and their connection with the theory of integral equations , 1909 .
[9] Klaus Schulten,et al. Self-organizing maps: ordering, convergence properties and energy functions , 1992, Biological Cybernetics.
[10] T. Heskes. Energy functions for self-organizing maps , 1999 .
[11] K. Obermayer,et al. PHASE TRANSITIONS IN STOCHASTIC SELF-ORGANIZING MAPS , 1997 .
[12] T. Kohonen. Self-organized formation of topographically correct feature maps , 1982 .
[13] John W. Fisher,et al. Learning from Examples with Information Theoretic Criteria , 2000, J. VLSI Signal Process..
[14] Deniz Erdogmus,et al. Generalized information potential criterion for adaptive system training , 2002, IEEE Trans. Neural Networks.
[15] Hilbert J. Kappen,et al. Error potentials for self-organization , 1993, IEEE International Conference on Neural Networks.
[16] Deniz Erdogmus,et al. Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation , 2002, Natural Computing.
[17] Huaiyu Zhu. On Information and Sufficiency , 1997 .
[18] Hujun Yin,et al. Self-organizing mixture networks for probability density estimation , 2001, IEEE Trans. Neural Networks.
[19] Timo Kostiainen,et al. Generative probability density model in the self-organizing map , 2001 .
[20] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[21] Teuvo Kohonen,et al. Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.
[22] Christopher M. Bishop,et al. GTM: A Principled Alternative to the Self-Organizing Map , 1996, NIPS.
[23] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .