3449 search results - page 286 / 690 » A Framework for Multiple-Instance Learning |
149
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CVPR
2000
IEEE
16 years 6 months ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
146
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
141
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
160
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
132
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...