132 search results - page 20 / 27 » Feature Space Reduction for Face Recognition with Dual Linea... |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
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...
ECCV
2010
Springer
14 years 15 days ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...