195 search results - page 18 / 39 » Fusion Moves for Markov Random Field Optimization |
INFOCOM
2009
IEEE
14 years 2 months ago
2009
IEEE
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper develops a practical method for image resolution enhancement. The method optimizes the spatially constrained Wiener filter for an efficiently parameterized model of the...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...