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» Mapping for Iterative MMSE-SIC with Belief Propagation
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ICC
2007
IEEE
153views Communications» more  ICC 2007»
13 years 11 months ago
Mapping for Iterative MMSE-SIC with Belief Propagation
Abstract— In Multiple-Input Multiple-Output (MIMO) wireless systems, since different signals are transmitted by different antennas simultaneously, interference occurs between the...
Satoshi Gounai, Tomoaki Ohtsuki
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
15 years 1 days ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
CVPR
2005
IEEE
14 years 6 months ago
Parameter Estimation for MRF Stereo
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...
Li Zhang, Steven M. Seitz
PAMI
2007
169views more  PAMI 2007»
13 years 4 months ago
Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
—This paper presents a novel approach for estimating the parameters for MRF-based stereo algorithms. This approach is based on a new formulation of stereo as a maximum a posterio...
Li Zhang, Steven M. Seitz
UAI
2008
13 years 6 months ago
Tightening LP Relaxations for MAP using Message Passing
Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...