695 search results - page 5 / 139 » Convex Learning with Invariances |
SEAL
2010
Springer
13 years 5 months ago
2010
Springer
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
ATVA
2008
Springer
13 years 9 months ago
2008
Springer
The evaluation of successor or predecessor state spaces through time progress is a central component in the model-checking algorithm of dense-time automata. The definition of the t...
JMLR
2010
13 years 2 months ago
2010
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
NIPS
2008
13 years 9 months ago
2008
We propose a general method called truncated gradient to induce sparsity in the weights of onlinelearning algorithms with convex loss functions. This method has several essential ...