An efficient algorithm to solve the small sample size problem for LDA

Pattern Recognition

Volumn 37, Issue 5, 2004, Pages 1077-1079

  Zheng, Wenming ^a   Zhao, Li ^a   Zou, Cairong ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Face recognition; Linear discriminant analysis; Null space

Indexed keywords

ALGORITHMS; DATA REDUCTION; PROBLEM SOLVING; VECTORS;

DATA SETS; LINEAR DISCRIMINANT ANALYSIS (LDA);

PATTERN RECOGNITION;

DATABASE; PATTERN RECOGNITION;

EID: 1842812871     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2003.02.001     Document Type: Article

References (5)

1. Chen Li-Fen Mark Liao Hong-Yuan Ko Ming-Tat Lin Ja-Chen Yu Gwo-Jong A new LDA-based face recognition system which can solve the small sample size problem Pattern Recognition 33 2000 1713-1726
2. Yu H. Yang J. A direct LDA algorithm for high-dimensional data-with application to face recognition Pattern Recognition 34 2001 2067-2070
3. Liu K. Cheng Y.Q. Yang J.Y. Liu X. An efficient algorithm for Foley-Sammon optimal set of discriminant vectors by algebraic method Int. J. Pattern Recognition Artif. Intell. 6 5 1992 817-829
4. Jin Z. Yang J.Y. Hu Z.S. Lou Z. Face recognition based on the uncorrelated discriminant transformation Pattern Recognition 34 2001 1405-1416
5. Tingting Shu Lan Gan Jingyu Yang A unified algorithm for the computation of statistically uncorrelated optimal discriminant vectors J. Nanjing Univ. Sci. Technol. 26 3 2002 290-294 (in Chinese)