485 search results - page 21 / 97 » A Discriminant Analysis for Undersampled Data |
MICCAI
2003
Springer
14 years 8 months ago
2003
Springer
Abstract. We perform discriminative analysis of brain structures using morphometric information. Spherical harmonics technique and point distribution model are used for shape descr...
CVPR
2007
IEEE
14 years 9 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...
ECCV
2004
Springer
14 years 28 days 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 ...
FGR
2008
IEEE
13 years 8 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...
PAA
2008
13 years 7 months ago
2008
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...