381 search results - page 39 / 77 » Boosting linear discriminant analysis for face recognition |
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
Linear discriminant analysis (LDA) has been successfully applied into computer vision and pattern recognition for effective feature extraction. High-dimensional objects such as im...
AMFG
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present an effective approach for spatiotemporal face recognition from videos using an Extended set of Volume LBP (Local Binary Pattern features) and a boosting s...
CVPR
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
PR
2002
13 years 7 months ago
2002
This paper introduces a novel nonlinear extension of Fisher's classical linear discriminant analysis (FDA) known as high-order Fisher's discriminant analysis (HOFDA). Th...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...