3643 search results - page 464 / 729 » Learning Submodular Functions |
230
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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...
193
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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...
182
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
206
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...