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179
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
272
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
174
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COLT
1999
Springer
15 years 11 months ago
1999
Springer
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
200
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CIKM
2006
Springer
15 years 10 months ago
2006
Springer
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
248
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NIPS
2007
15 years 8 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...