Maximum Entropy Gibbs Density Modeling for Pattern Classification

Maximum Entropy Gibbs Density Modeling for Pattern Classification

Recent studies have shown that the Gibbs density function is a good model for visual patterns and that its parameters can be learned from pattern category training data by a gradient algorithm optimizing a constrained entropy criterion. These studies represented each pattern category by a single den...

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Bibliographic Details
Main Authors: Neila Mezghani, Amar Mitiche, Mohamed Cheriet
Format: Article
Language:English
Published: MDPI AG 2012-12-01
Series:Entropy
Subjects:
maximum entropy
Kohonen neural network
Gibbs density
parameter estimation
pattern classification
handwritten characters
Online Access:http://www.mdpi.com/1099-4300/14/12/2478

Internet

http://www.mdpi.com/1099-4300/14/12/2478

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