55 search results - page 11 / 11 » Image Segmentation by Data Driven Markov Chain Monte Carlo |
NIPS
2008
13 years 6 months ago
2008
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
FOCS
2008
IEEE
13 years 11 months ago
2008
IEEE
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
JMLR
2010
12 years 11 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
CVPR
2011
IEEE
13 years 27 days ago
2011
IEEE
Shape matching has many applications in computer vision, such as shape classification, object recognition, object detection, and localization. In 2D cases, shape instances are 2D c...