15073 search results - page 366 / 3015 » Probabilistic algorithms for computing resultants |
159
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ECCV
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
164
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CVPR
2009
IEEE
17 years 5 days ago
2009
IEEE
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
146
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ICCV
2007
IEEE
16 years 7 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
172
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
163
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GECCO
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...