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185
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...
248
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
In this paper, we introduce a higher-order MRF optimization
framework. On the one hand, it is very general;
we thus use it to derive a generic optimizer that can be applied
to a...
164
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Low-rank approximation of image collections (e.g., via
PCA) is a popular tool in many areas of computer vision.
Yet, surprisingly little is known justifying the observation
that...
178
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CVPR
2000
IEEE
16 years 8 months ago
2000
IEEE
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
191
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
When viewed from a system of multiple cameras with nonoverlapping fields of view, the appearance of an object in one camera view is usually very different from its appearance in a...