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247
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ICCV
2011
IEEE
14 years 7 months ago
2011
IEEE
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
307
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
199
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ECCV
2008
Springer
16 years 9 months ago
2008
Springer
Segmentation has gained in popularity in stereo matching. However, it is not trivial to incorporate it in optical flow estimation due to the possible non-rigid motion problem. In t...
214
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ECCV
2008
Springer
16 years 9 months ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
230
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...