DocumentCode
1109684
Title
Feature Selection with a Linear Dependence Measure
Author
Das, Sajal K.
Issue
9
fYear
1971
Firstpage
1106
Lastpage
1109
Abstract
Features which are linearly dependent on other features do not contribute toward pattern classification by linear techniques. In order to detect the linearly dependent features, a measure of linear dependence is proposed. This measure is used as an aid in feature selection. Speaker verification experiments demonstrate the usefulness of employing such a measure in practice.
Keywords
Analysis of variance, dependent features, feature selection, pattern classification, speaker verification.; Distortion measurement; Encoding; Euclidean distance; Mutual information; Pattern recognition; Performance evaluation; Probability; Rate distortion theory; Signal to noise ratio; Testing; Analysis of variance, dependent features, feature selection, pattern classification, speaker verification.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1971.223412
Filename
1672005
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