141 search results - page 11 / 29 » Grouping and dimensionality reduction by locally linear embe... |
127
click to vote
ICPR
2006
IEEE
16 years 2 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
118
click to vote
IVC
2007
15 years 1 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
111
click to vote
CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...
140
click to vote
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
The estimation of head pose angle from face images is an integral component of face recognition systems, human computer interfaces and other human-centered computing applications....
124
click to vote
ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Embedding images into a low dimensional space has a wide range of applications: visualization, clustering, and pre-processing for supervised learning. Traditional dimension reduct...