486 search results - page 9 / 98 » Learning bilinear models for two-factor problems in vision |
126
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
160
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BMVC
2010
15 years 1 months ago
2010
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
145
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CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
139
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IBPRIA
2009
Springer
15 years 8 months ago
2009
Springer
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
145
Voted
CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Image parsing remains difficult due to the need to combine
local and contextual information when labeling a
scene. We approach this problem by using the epitome as a
prior over ...