29 search results - page 3 / 6 » Wavelet Belief Propagation for Large Scale Inference Problem... |
CVPR
2004
IEEE
14 years 10 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...
ICASSP
2011
IEEE
13 years 8 days ago
2011
IEEE
Nonparametric belief propagation (NBP) is a well-known particlebased method for distributed inference in wireless networks. NBP has a large number of applications, including coope...
AI
2011
Springer
13 years 5 days ago
2011
Springer
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...