2507 search results - page 338 / 502 » Learning Low-Level Vision |
160
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CVPR
2004
IEEE
15 years 6 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
125
Voted
ECCV
2006
Springer
15 years 6 months ago
2006
Springer
Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case of a...
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
112
Voted
CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
102
Voted
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...