695 search results - page 44 / 139 » Convex Learning with Invariances |
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
This paper describes a viewpoint invariant learningbased method for counting people in crowds from a single camera. Our method takes into account feature normalization to deal wit...
CORR
2012
Springer
12 years 5 months ago
2012
Springer
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
ML
2007
ACM
13 years 9 months ago
2007
ACM
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels, [18]. We present a reformulation of this problem within a feature space e...