376 search results - page 3 / 76 » Supervised dimensionality reduction using mixture models |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
CVPR
2008
IEEE
14 years 10 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...
VISAPP
2008
13 years 10 months ago
2008
SAC
2006
ACM
14 years 2 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
ECCV
2004
Springer
14 years 10 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...