3718 search results - page 480 / 744 » On learning with dissimilarity functions |
176
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SIGPRO
2011
15 years 1 months ago
2011
In this paper, we survey and compare different algorithms that, given an overcomplete dictionary of elementary functions, solve the problem of simultaneous sparse signal approxim...
239
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
232
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DAGM
2011
Springer
14 years 6 months ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
322
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Publication
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
194
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
In order to work well, many computer vision algorithms require that their parameters be adjusted according to the image noise level, making it an important quantity to estimate. W...