DocumentCode
393466
Title
A subspace method for feature extraction using independent components
Author
Kinukawa, Shuhei ; Kotani, Manabu ; Ozawa, Seiichi
Author_Institution
Fac. of Eng., Kobe Univ., Japan
Volume
2
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
746
Abstract
We propose an approach to feature extraction using independent component analysis. The proposed method is combination of a subspace method and a combining strategy. Simulations are performed for the standard databases. Results reveal the effectiveness of the proposed method.
Keywords
feature extraction; independent component analysis; pattern recognition; feature extraction; independent component analysis; independent components; primary visual cortex; recognition; subspace method; Data mining; Feature extraction; Humans; Image databases; Independent component analysis; Layout; Pattern recognition; Principal component analysis; Spatial databases; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195249
Filename
1195249
Link To Document