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208
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
187
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CVPR
2004
IEEE
16 years 8 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
191
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CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
Object detection is challenging partly due to the limited discriminative power of local feature descriptors. We amend this limitation by incorporating spatial constraints among ne...
179
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
180
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...