890 search results - page 15 / 178 » Learning Generic Prior Models for Visual Computation |
CVPR
2010
IEEE
15 years 5 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 ...
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ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
118
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COLCOM
2005
IEEE
15 years 3 months ago
2005
IEEE
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Unsupervised over-segmentation of an image into superpixels
is a common preprocessing step for image parsing
algorithms. Superpixels are used as both regions of support
for feat...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...