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» Fast Memory-Efficient Generalized Belief Propagation
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ECCV
2006
Springer
14 years 6 months ago
Fast Memory-Efficient Generalized Belief Propagation
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
M. Pawan Kumar, Philip H. S. Torr
ICASSP
2009
IEEE
13 years 2 months ago
Fast belief propagation process element for high-quality stereo estimation
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
Chao-Chung Cheng, Chia-Kai Liang, Yen-Chieh Lai, H...
WWW
2007
ACM
14 years 5 months ago
Netprobe: a fast and scalable system for fraud detection in online auction networks
Given a large online network of online auction users and their histories of transactions, how can we spot anomalies and auction fraud? This paper describes the design and implemen...
Shashank Pandit, Duen Horng Chau, Samuel Wang, Chr...
CVPR
2008
IEEE
14 years 6 months ago
Reduce, reuse & recycle: Efficiently solving multi-label MRFs
In this paper, we present novel techniques that improve the computational and memory efficiency of algorithms for solving multi-label energy functions arising from discrete MRFs o...
Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr
CVPR
2010
IEEE
13 years 7 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper