Sciweavers

CIMCA
2005
IEEE
13 years 10 months ago
Linear Response Formula in Generalized Belief Propagation for Probabilistic Inference
Linear response formulas for the generalized belief propagation in approximate inference are derived by using generalized belief propagation. The linear response formulas can give...
Kazuyuki Tanaka
ICANN
2007
Springer
13 years 10 months ago
Theoretical Analysis of Accuracy of Gaussian Belief Propagation
Abstract. Belief propagation (BP) is the calculation method which enables us to obtain the marginal probabilities with a tractable computational cost. BP is known to provide true m...
Yu Nishiyama, Sumio Watanabe
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
13 years 10 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
WCNC
2008
IEEE
13 years 11 months ago
Decoding on Graphs: LDPC-Coded MISO Systems and Belief Propagation
— This paper proposes a new approach for decoding LDPC codes over MISO channels. Since in an nT × 1 MISO system with a modulation of alphabet size 2M, nT transmitted symbols are...
Amir H. Djahanshahi, Paul H. Siegel, Laurence B. M...
SOCC
2008
IEEE
233views Education» more  SOCC 2008»
13 years 11 months ago
A low-power 1-Gbps reconfigurable LDPC decoder design for multiple 4G wireless standards
Abstract— In this paper we present an efficient system-onchip implementation of a 1-Gbps LDPC decoder for 4G (or beyond 3G) wireless standards. The decoder has a scalable datapa...
Yang Sun, Joseph R. Cavallaro
SIPS
2008
IEEE
13 years 11 months ago
Analysis of belief propagation for hardware realization
Belief propagation has become a popular technique for solving computer vision problems, such as stereo estimation and image denoising. However, it requires large memory and bandwi...
Chao-Chung Cheng, Chia-Kai Liang, Yen-Chieh Lai, H...
CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
14 years 24 days ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
ECCV
2008
Springer
14 years 6 months ago
Belief Propagation with Directional Statistics for Solving the Shape-from-Shading Problem
The Shape-from-Shading [SfS] problem infers shape from reflected light, collected using a camera at a single point in space only. Reflected light alone does not provide sufficient ...
Tom S. F. Haines, Richard C. Wilson
CVPR
2008
IEEE
14 years 6 months ago
(BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
Ifeoma Nwogu, Jason J. Corso
CVPR
2007
IEEE
14 years 6 months ago
Efficient Belief Propagation for Vision Using Linear Constraint Nodes
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
Brian Potetz