399 search results - page 1 / 80 » Two-Dimensional Linear Discriminant Analysis |
CVPR
2009
IEEE
13 years 12 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...
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...
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...
INFORMATICALT
2000
13 years 4 months ago
2000
In this work the analytical expressions of half-time T1/2 and its derivatives in respect to distance T1/2/R in a one-dimensional RC medium (a current electrode has a shape of the s...