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» Parallelizing Feature Selection
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CVPR
2005
IEEE
15 years 12 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
ECCV
2004
Springer
15 years 11 months ago
Kernel Feature Selection with Side Data Using a Spectral Approach
Abstract. We address the problem of selecting a subset of the most relevant features from a set of sample data in cases where there are multiple (equally reasonable) solutions. In ...
Amnon Shashua, Lior Wolf
ICASSP
2007
IEEE
15 years 4 months ago
Feature Selection Based on Fisher Ratio and Mutual Information Analyses for Robust Brain Computer Interface
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
Tran Huy Dat, Cuntai Guan
UAI
2004
14 years 11 months ago
Pre-Selection of Independent Binary Features: An Application to Diagnosing Scrapie in
Suppose that the only available information in a multi-class problem are expert estimates of the conditional probabilities of occurrence for a set of binary features. The aim is t...
Ludmila I. Kuncheva, Christopher J. Whitaker, Pete...
JMM2
2008
124views more  JMM2 2008»
14 years 10 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang