576 search results - page 44 / 116 » Structured metric learning for high dimensional problems |
FGR
2006
IEEE
15 years 6 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 ...
111
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CVPR
2001
IEEE
16 years 1 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...
113
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ECCV
2006
Springer
15 years 3 months 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...
122
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ICCV
1998
IEEE
15 years 4 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
15 years 1 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. ...