6 search results - page 1 / 2 » Non-Iterative Two-Dimensional Linear Discriminant Analysis |
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
CVPR
2009
IEEE
13 years 11 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...
NIPS
2004
13 years 6 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Two Dimensional Linear Discriminant Analysis (2DLDA) has received much interest in recent years. However, 2DLDA could make pairwise distances between any two classes become signiï...
PAMI
2007
13 years 4 months ago
2007
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...