187 search results - page 28 / 38 » Conditional random fields for multi-agent reinforcement lear... |
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
97
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ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
117
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We study visual attention by detecting a salient object in an input image. We formulate salient object detection as an image segmentation problem, where we separate the salient obj...