180 search results - page 34 / 36 » Relational Graph Labelling Using Learning Techniques and Mar... |
ICML
2005
IEEE
16 years 17 days ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
101
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RECOMB
2005
Springer
16 years 2 days ago
2005
Springer
Abstract. Protein-protein interactions play a major role in most cellular processes. Thus, the challenge of identifying the full repertoire of interacting proteins in the cell is o...
140
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ECCV
2008
Springer
15 years 10 months ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
TIP
2002
14 years 11 months ago
2002
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...