67 search results - page 1 / 14 » Local Fisher discriminant analysis for supervised dimensiona... |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
ML
2010
ACM
13 years 3 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
ICDM
2003
IEEE
13 years 9 months 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...
ECCV
2004
Springer
14 years 6 months ago
2004
Springer
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...