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CVPR
2005
IEEE
14 years 4 months ago
A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples
A novel framework called 2D Fisher Discriminant Analysis (2D-FDA) is proposed to deal with the Small Sample Size (SSS) problem in conventional One-Dimensional Linear Discriminan...
Hui Kong, Lei Wang, Eam Khwang Teoh, Jian-Gang Wan...
FGR
2011
IEEE
272views Biometrics» more  FGR 2011»
12 years 8 months ago
Adaptive discriminant analysis for face recognition from single sample per person
—Discriminant analysis, especially Fisherface and its numerous variants, have achieved great success in face recognition. However, these methods fail to work for face recognition...
Meina Kan, Shiguang Shan, Yu Su, Xilin Chen, Wen G...
IPCV
2008
13 years 6 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
CVPR
2007
IEEE
14 years 6 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
ECCV
2004
Springer
13 years 10 months ago
Null Space Approach of Fisher Discriminant Analysis for Face Recognition
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
Wei Liu, Yunhong Wang, Stan Z. Li, Tieniu Tan