Dissimilarity Analysis and Application to Visual Comparisons
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[1] Mohamed Slimane,et al. Optimizing Hidden Markov Models with a Genetic Algorithm , 1995, Artificial Evolution.
[2] S. Eddy. Hidden Markov models. , 1996, Current opinion in structural biology.
[3] Robert P. W. Duin,et al. The Dissimilarity Representation for Pattern Recognition - Foundations and Applications , 2005, Series in Machine Perception and Artificial Intelligence.
[4] Matti Vihola,et al. Two dissimilarity measures for HMMS and their application in phoneme model clustering , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[5] J. Baker,et al. The DRAGON system--An overview , 1975 .
[6] Nicole Vincent,et al. Web sites thematic classification using hidden Markov models , 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.
[7] Allan R. Wilks,et al. Dynamic Graphics for Data Analysis , 1987 .
[8] Mia Hubert,et al. Robust PCA and classification in biosciences , 2004, Bioinform..
[9] S. H. Cheng,et al. A Modified Cholesky Algorithm Based on a Symmetric Indefinite Factorization , 1998, SIAM J. Matrix Anal. Appl..
[10] Andreas Wierse,et al. Information Visualization in Data Mining and Knowledge Discovery , 2001 .
[11] Susan A. Murphy,et al. Monographs on statistics and applied probability , 1990 .
[12] Elizabeth Eskow,et al. A Revised Modified Cholesky Factorization Algorithm , 1999, SIAM J. Optim..
[13] M. Do. Fast approximation of Kullback-Leibler distance for dependence trees and hidden Markov models , 2003, IEEE Signal Processing Letters.
[14] I. J. Schoenberg,et al. Metric spaces and positive definite functions , 1938 .
[15] Richard J. Harris. A primer of multivariate statistics , 1975 .
[16] W. Greub. Linear Algebra , 1981 .
[17] Concept tree based clustering visualization with shaded similarity matrices , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[18] Mireille Boutin,et al. On reconstructing n-point configurations from the distribution of distances or areas , 2003, Adv. Appl. Math..
[19] Solomon Kullback,et al. Information Theory and Statistics , 1960 .
[20] Helge J. Ritter,et al. On interactive visualization of high-dimensional data using the hyperbolic plane , 2002, KDD.
[21] Markus Falkhausen,et al. Calculation of distance measures between hidden Markov models , 1995, EUROSPEECH.
[22] Lev Goldfarb,et al. A unified approach to pattern recognition , 1984, Pattern Recognit..
[23] Martin Charlton,et al. An Investigation of Methods for Visualising Highly Multivariate Datasets , 1998 .
[24] W. Torgerson,et al. Multidimensional scaling of similarity , 1965, Psychometrika.
[25] Graham J. Wills. NicheWorks—Interactive Visualization of Very Large Graphs , 1999 .
[26] Xuemin Lin,et al. Spring algorithms and symmetry , 2000, Theor. Comput. Sci..
[27] Klaus Obermayer,et al. Classi cation on Pairwise Proximity , 2007 .
[28] Alfred Inselberg,et al. Parallel coordinates for visualizing multi-dimensional geometry , 1987 .
[30] Bernhard Schölkopf,et al. Kernel Principal Component Analysis , 1997, ICANN.
[31] Yoram Singer,et al. The Hierarchical Hidden Markov Model: Analysis and Applications , 1998, Machine Learning.
[32] Andy Harter,et al. Parameterisation of a stochastic model for human face identification , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.
[33] Sanne Engelen,et al. A comparison of three procedures for robust PCA in high dimensions , 2016 .
[34] David Haussler,et al. Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families , 1993, ISMB.
[35] Richard A. Becker,et al. Brushing scatterplots , 1987 .
[36] Solomon Kullback,et al. Information Theory and Statistics , 1970, The Mathematical Gazette.
[37] Patrick J. F. Groenen,et al. Modern Multidimensional Scaling: Theory and Applications , 2003 .
[38] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[39] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[40] Jarke J. van Wijk,et al. HyperSlice - Visualization of Scalar Functions of Many Variables , 1993, IEEE Visualization.
[41] Lalit R. Bahl,et al. Design of a linguistic statistical decoder for the recognition of continuous speech , 1975, IEEE Trans. Inf. Theory.
[42] Robert P. W. Duin,et al. A Generalized Kernel Approach to Dissimilarity-based Classification , 2002, J. Mach. Learn. Res..