1395 search results - page 5 / 279 » Manifold Discriminant Analysis |
MM
2010
ACM
13 years 8 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
The characterization of signals and images in manifolds often lead to efficient dimensionality reduction algorithms based on manifold distance computation for analysis or classi...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
Transformation manifolds are quite attractive for image analysis applications that require transformation invariance properties. The geometric structure of a transformation manifo...