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GRC
2008
IEEE
13 years 8 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
NECO
2008
122views more  NECO 2008»
13 years 7 months ago
Constrained Subspace ICA Based on Mutual Information Optimization Directly
We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
Marc M. Van Hulle
ICASSP
2010
IEEE
13 years 7 months ago
Discriminative template extraction for direct modeling
This paper addresses the problem of developing appropriate features for use in direct modeling approaches to speech recognition, such as those based on Maximum Entropy models or S...
Shankar Shivappa, Patrick Nguyen, Geoffrey Zweig
ESANN
2007
13 years 9 months ago
Classifying n-back EEG data using entropy and mutual information features
In this work we show that entropy (H) and mutual information (MI) can be used as methods for extracting spatially localized features for classification purposes. In order to incre...
Liang Wu, Predrag Neskovic, Etienne Reyes, Elena F...