1194 search results - page 26 / 239 » Pareto Discriminant Analysis |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
71
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Linear discriminant analysis (LDA) has been an active topic of research during the last century. However, the existing algorithms have several limitations when applied to visual d...
ECCV
2004
Springer
15 years 3 months ago
2004
Springer
The null space of the within-class scatter matrix is found to express most discriminative information for the small sample size problem (SSSP). The null space-based LDA takes full ...
99
Voted
FGR
2008
IEEE
14 years 10 months ago
2008
IEEE
Traditional discriminate analysis treats all the involved classes equally in the computation of the between-class scatter matrix. However, we find that for many vision tasks, the...