29 search results - page 5 / 6 » A parallel framework for loopy belief propagation |
CORR
2010
Springer
13 years 7 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
2012
IEEE
11 years 10 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
AI
2011
Springer
12 years 11 months 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...
JSAC
1998
13 years 7 months ago
1998
Abstract—We present a unified graphical model framework for describing compound codes and deriving iterative decoding algorithms. After reviewing a variety of graphical models (...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We address the problem of detecting complex articulated objects and their pose in 3D range scan data. This task is very difficult when the orientation of the object is unknown, an...