DocumentCode
1134135
Title
An Optimal Orthogonal Expansion for Classification of Patterns
Author
Nakamura, Yatsuka ; Furuya, Masakazu ; Sunohara, Shoichi
Author_Institution
Faculty of Engineering, Shinshu University
Issue
12
fYear
1977
Firstpage
1288
Lastpage
1290
Abstract
In this correspondence, the Karhunen-Loève expansion is generalized for multiclass classification and some optimal properties desirable for the feature extraction process are proved. This expansion is based upon a weighted covariance matrix with the interclass and intraclass distances.
Keywords
Classification of patterns, eigenvectors of covariance matrices, interclass and intraclass distances, multiclass classification, orthogonal expansion of patterns.; Application software; Art; Calculators; Covariance matrix; Digital arithmetic; Equations; Feature extraction; Laboratories; Logic programming; Merging; Classification of patterns, eigenvectors of covariance matrices, interclass and intraclass distances, multiclass classification, orthogonal expansion of patterns.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1977.1674793
Filename
1674793
Link To Document