112 search results - page 1 / 23 » Linear Laplacian Discrimination for Feature Extraction |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Discriminant feature extraction plays a fundamental role in pattern recognition. In this paper, we propose the Linear Laplacian Discrimination (LLD) algorithm for discriminant fea...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
Maximum Margin Criterion (MMC) based Feature Extraction method is more efficient than LDA for calculating the discriminant vectors since it does not need to calculate the inverse ...
CAIP
2005
Springer
13 years 11 months ago
2005
Springer
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
SIBGRAPI
2006
IEEE
13 years 11 months ago
2006
IEEE
Statistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population u...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...