DocumentCode :
3595860
Title :
Two Dimensional Fisher Discriminant Analysis: Forget About Small Sample Size Problem
Author :
Kong, Hui ; Teoh, Eam Khwang ; Wang, Jian Gang ; Venkateswarlu, Ronda
Author_Institution :
Nanyang Technol. Univ., Singapore, Singapore
Volume :
2
fYear :
2005
Firstpage :
761
Lastpage :
764
Keywords :
face recognition; feature extraction; statistical analysis; 2D Fisher discriminant analysis; 2D image matrices; 2D-FDA; LDA-based face recognition; between-class scatter; feature extraction; linear discriminant analysis; principal component analysis; small sample size problem; within-class scatter; Algorithm design and analysis; Eigenvalues and eigenfunctions; Face recognition; Feature extraction; Image databases; Linear discriminant analysis; Null space; Principal component analysis; Scattering; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415516
Filename :
1415516
Link To Document :
بازگشت