576 search results - page 44 / 116 » Structured metric learning for high dimensional problems |
FGR
2006
IEEE
14 years 3 months ago
2006
IEEE
We propose an Isometric Self-Organizing Map (ISOSOM) method for nonlinear dimensionality reduction, which integrates a Self-Organizing Map model and an ISOMAP dimension reduction ...
CVPR
2001
IEEE
14 years 11 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
ECCV
2006
Springer
14 years 20 days ago
2006
Springer
Tracking body poses of multiple persons in monocular video is a challenging problem due to the high dimensionality of the state space and issues such as inter-occlusion of the pers...
ICCV
1998
IEEE
14 years 1 months ago
1998
IEEE
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
COLT
2008
Springer
13 years 10 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...