56 search results - page 3 / 12 » Approximation of Data by Decomposable Belief Models |
CIMCA
2005
IEEE
13 years 11 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
CVPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, we formulate an algorithm for the stereo matching problem with careful handling of disparity, discontinuity and occlusion. The algorithm works with a global matchin...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
ICDM
2006
IEEE
13 years 12 months ago
2006
IEEE
We describe a part-based object-recognition framework, specialized to mining complex 3D objects from detailed 3D images. Objects are modeled as a collection of parts together with...
ICIP
2008
IEEE
14 years 11 days ago
2008
IEEE
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...