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» Face Recognition Based on Discriminative Manifold Learning
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CVPR
2005
IEEE
15 years 11 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
CVPR
2005
IEEE
15 years 9 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...
CAIP
2003
Springer
164views Image Analysis» more  CAIP 2003»
15 years 2 months ago
Face Recognition by Fisher and Scatter Linear Discriminant Analysis
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
Miroslaw Bober, Krzysztof Kucharski, Wladyslaw Ska...
CVPR
2007
IEEE
15 years 4 months ago
Estimating Cluster Overlap on Manifolds and its Application to Neuropsychiatric Disorders
Although it is usually assumed in many pattern recognition problems that different patterns are distinguishable, some patterns may have inseparable overlap. For example, some faci...
Peng Wang, Christian Köhler, Ragini Verma
CVPR
2005
IEEE
15 years 11 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun