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ECCV
2008
Springer
14 years 9 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ECCV
2002
Springer
14 years 9 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
DAC
2002
ACM
14 years 8 months ago
Solving difficult SAT instances in the presence of symmetry
Research in algorithms for Boolean satisfiability and their efficient implementations [26, 8] has recently outpaced benchmarking efforts. Most of the classic DIMACS benchmarks fro...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
CVPR
2010
IEEE
1208views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Visual Tracking Decomposition
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time....
Junseok Kwon (Seoul National University), Kyoung M...
WECWIS
2009
IEEE
104views ECommerce» more  WECWIS 2009»
14 years 2 months ago
Online Auctions: There Can Be Only One
—In recent years, the proliferation of the world wide web has lead to an increase in the number of public auctions on the internet. One of the characteristics of online auctions ...
Charu C. Aggarwal, Philip S. Yu