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» Random Sampling LDA for Face Recognition
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ICIP
2002
IEEE
16 years 2 months ago
A kernel machine based approach for multi-view face recognition
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition applications. It is well kno...
Juwei Lu, Kostas N. Plataniotis, Anastasios N. Ven...
96
Voted
CVPR
2005
IEEE
16 years 2 months ago
Nonparametric Subspace Analysis for Face Recognition
Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix...
Zhifeng Li, Wei Liu, Dahua Lin, Xiaoou Tang
ICDAR
2011
IEEE
14 years 18 hour ago
A New Feature Optimization Method Based on Two-Directional 2DLDA for Handwritten Chinese Character Recognition
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
Xue Gao, Wenhuan Wen, Lianwen Jin
91
Voted
IJPRAI
2006
100views more  IJPRAI 2006»
15 years 12 days ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
PRL
2010
188views more  PRL 2010»
14 years 10 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan