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» On the Power of the Randomized Iterate
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CVPR
2007
IEEE
16 years 8 months ago
Utilizing Variational Optimization to Learn Markov Random Fields
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
Marshall F. Tappen
ECCV
2008
Springer
16 years 8 months ago
A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus
The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction o...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys
ICPR
2010
IEEE
16 years 1 months ago
Continuous Markov Random Field Optimization using Fusion Move Driven Markov Chain Monte Carlo Technique
Many vision applications have been formulated as Markov Random Field (MRF) problems. Although many of them are discrete labeling problems, continuous formulation often achieves gre...
Wonsik Kim (Seoul National University), Kyoung Mu ...
GLOBECOM
2007
IEEE
16 years 20 days ago
Cellular Communication with Randomly Placed Distributed Antennas
Abstract— A cellular distributed antenna system with randomly located distributed antenna elements (AEs) and mobile users is considered. The AEs are connected to the base station...
Jun Zhang, Jeffrey G. Andrews
SECON
2007
IEEE
16 years 18 days ago
Two-hop Relaying in Random Networks with Limited Channel State Information
— In this paper we study two-hop cooperative diversity relaying in random wireless networks. In contrast to most work on cooperative diversity relaying where the relay node posit...
Furuzan Atay Onat, Dan Avidor, Sayandev Mukherjee