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» Bayesian Structure from Motion
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94
Voted
ICIP
2001
IEEE
16 years 2 months ago
Bayesian high-resolution reconstruction of low-resolution compressed video
A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm in...
Rafael Molina, Aggelos K. Katsaggelos, Javier Mate...
104
Voted
CVPR
1997
IEEE
15 years 4 months ago
Empirical Bayesian EM-based Motion Segmentation
A recent trend in motion-based segmentation has been to rely on statistical procedures derived from ExpectationMaximization (EM) principles. EM-based approaches have various attra...
Nuno Vasconcelos, Andrew Lippman
96
Voted
AI
1999
Springer
15 years 10 days ago
Understanding Mechanical Motion: From Images to Behaviors
We present an algorithm for producing behavior descriptions of planar fixed axes mechanical motions from image sequences using a formal behavior language. The language, which cove...
Tzachi Dar, Leo Joskowicz, Ehud Rivlin
98
Voted
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 18 days ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
ICIP
2006
IEEE
15 years 6 months ago
MRF Modeling for Optical Flow Computation from Multi-Structure Objects
We propose in this paper a new formulation of the equation of the optical flow enabling to compute global and local motions of multi-structure objects (flowers and petals, trees...
Véronique Prinet, Cyril Cassisa, FengFeng T...