16 search results - page 2 / 4 » Mapping for Iterative MMSE-SIC with Belief Propagation |
CORR
2007
Springer
13 years 4 months ago
2007
Springer
— Max-product belief propagation is a local, iterative algorithm to find the mode/MAP estimate of a probability distribution. While it has been successfully employed in a wide v...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
TIT
2008
13 years 4 months ago
2008
Abstract--Max-product "belief propagation" (BP) is an iterative, message-passing algorithm for finding the maximum a posteriori (MAP) assignment of a discrete probability...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
CVPR
2009
IEEE
15 years 9 hour ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...