Distance measures for signal processing and pattern recognition
Signal Processing
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Neural networks for pattern recognition
Neural networks for pattern recognition
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
DIRICHLET MIXTURES: A METHOD FOR IMPROVING DETECTION OF WEAK BUT SIGNIFICANT PROTEIN SEQUENCE HOMOLOGY
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some Inequalities Between Distance Measures for Feature Evaluation
IEEE Transactions on Computers
Decorrelation Methods of Texture Feature Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonparametric feature selection
IEEE Transactions on Information Theory
Error estimation in pattern recognition via -distance between posterior density functions
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Unsupervised texture segmentation using active contours driven by the Chernoff gradient flow
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Bayesian method for robust estimation of distributional similarities
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
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We give the analytical definitions of the Chernoff, Bhattacharyya and Jeffreys-Matusita probabilistic distances between two Dirichlet distributions and two Beta distributions as its special case. For all other known probabilistic distances we show their inappropriateness in the analytical case. We discuss the parameter learning of the Dirichlet distribution from a finite sample set and present an application for split-and-merge image segmentation.