39 search results - page 5 / 8 » Compressed fisher linear discriminant analysis: classificati... |
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...
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...
NOLISP
2005
Springer
15 years 3 months ago
2005
Springer
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
The problem of appearance-based recognition of faces and facial expressions is addressed. Previous work on sliced inverse regression (SIR) resulted in the formulation of an appear...
ICIP
2009
IEEE
15 years 10 months ago
2009
IEEE
In video surveillance, the sizes of face images are very small. However, few works have been done to investigate scalerobust face recognition. Our experiments on appearancebased m...