28 search results - page 6 / 6 » An SVD and Derivative Kernel Approach to Learning from Geome... |
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
ICML
2009
IEEE
13 years 11 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
MLG
2007
Springer
13 years 11 months ago
2007
Springer
1 In web-related applications of image categorization, it is desirable to derive an interpretable classification rule with high accuracy. Using the bag-of-words representation and...