320 search results - page 58 / 64 » Using Conditional Random Fields for Decision-Theoretic Plann... |
106
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CVPR
2009
IEEE
16 years 6 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...
104
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
The Conditional Random Fields (CRF) model, using
patch-based classification bound with context information,
has recently been widely adopted for image segmentation/
labeling. In...
CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
A variety of flexible models have been proposed to detect
objects in challenging real world scenes. Motivated
by some of the most successful techniques, we propose a
hierarchica...
112
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space. One basic observation use...