125 search results - page 6 / 25 » Rotational Linear Discriminant Analysis Technique for Dimens... |
ICDM
2003
IEEE
14 years 25 days ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
IDEAL
2004
Springer
14 years 28 days ago
2004
Springer
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...
ADMA
2008
Springer
13 years 9 months ago
2008
Springer
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing fo...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
PRL
2010
13 years 6 months ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...