Maximum entropy dis rimination

A Re ognition-based Alternative to Dis rimination-based Multi-Layer Per eptrons

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Antonio Colmenarez Brendan Frey Thomas S. Huang Adaptive Systems Department Department of Computer S ien e Be kman Institute Philips Resear h University of Waterloo University of Illinois Briar i Manor, NY 10510 Waterloo, Ontario N2L 3G1 Urbana, IL 61801 USA Canada USA Abstra t We des ribe a real-time system for fa e and faial feature dete tion and tra king in ontinuous video. The ore of this s...

Game Theory , Maximum Generalized Entropy , Minimum Dis repan y , Robust Bayes

Determination of Maximum Bayesian Entropy Probability Distribution

In this paper, we consider the determination methods of maximum entropy multivariate distributions with given prior under the constraints, that the marginal distributions or the marginals and covariance matrix are prescribed. Next, some numerical solutions are considered for the cases of unavailable closed form of solutions. Finally, these methods are illustrated via some numerical examples.

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Abstra t. Most evaluation metri s in lassi ation are designed to reward lass uniformity in the example subsets indu ed by a feature (e.g., Information Gain). Other metri s are designed to reward dis rimination power in the ontext of feature sele tion as a means to ombat the feature-intera tion problem (e.g., Relief, Contextual Merit). We de ne a new framework that ombines the strengths of both ...