508 search results - page 6 / 102 » Near-Optimal Regularization Parameters for Applications in C... |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
We present a novel method for incorporating prior knowledge about invariances in object recognition for discriminant analysis. In contrast to conventional isotropic regularization...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper presents a novel approach for estimating parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterior (MAP...
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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...