486 search results - page 9 / 98 » Learning bilinear models for two-factor problems in vision |
CVPR
2010
IEEE
14 years 3 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...
BMVC
2010
13 years 5 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...
CVPR
2010
IEEE
14 years 3 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 ...
IBPRIA
2009
Springer
14 years 9 days 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...
CVPR
2009
IEEE
15 years 2 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 ...