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ICC
2009
IEEE
143views Communications» more  ICC 2009»
15 years 4 months ago
Low Complexity Markov Chain Monte Carlo Detector for Channels with Intersymbol Interference
— In this paper, we propose a novel low complexity soft-in soft-out (SISO) equalizer using the Markov chain Monte Carlo (MCMC) technique. Direct application of MCMC to SISO equal...
Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boro...
NIPS
2000
14 years 11 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
PRL
2006
163views more  PRL 2006»
14 years 9 months ago
3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo
A robust and effective feature map integration method is presented for infrared (IR) target recognition. Noise in an IR image makes a target recognition system unstable in pose es...
Sungho Kim, In-So Kweon
TSP
2010
14 years 4 months ago
Markov chain monte carlo detectors for channels with intersymbol interference
In this paper, we propose novel low-complexity soft-in soft-out (SISO) equalizers using the Markov chain Monte Carlo (MCMC) technique. We develop a bitwise MCMC equalizer (b-MCMC) ...
Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boro...
ICIP
2002
IEEE
15 years 11 months ago
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages
Ana S. Lukic, Miles N. Wernick, Nikolas P. Galatsa...