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ICC
2009
IEEE
116views Communications» more  ICC 2009»
13 years 11 months ago
Markov Chain Monte Carlo Detection Methods for High SNR Regimes
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO...
Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz...
GLOBECOM
2007
IEEE
13 years 11 months ago
Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
— Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multipleinput multiple-output (MIMO) communication systems. Moreover, the near capacity be...
Xuehong Mao, Peiman Amini, Behrouz Farhang-Borouje...
JSAC
2008
102views more  JSAC 2008»
13 years 4 months ago
Convergence of Markov-Chain Monte-Carlo Approaches to Multiuser and MIMO Detection
Markov-chain Monte
Soren J. Henriksen, Brett Ninness, Steven R. Welle...
CVPR
2009
IEEE
14 years 2 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICPR
2006
IEEE
14 years 5 months ago
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
Bo Wu, Gérard G. Medioni, Isaac Cohen, Qian...