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» A Guided Monte Carlo Approach to Optimization Problems
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ECCV
2008
Springer
14 years 12 months ago
 Tracking of Abrupt Motion using Wang-Landau Monte Carlo Estimation
We propose a novel tracking algorithm based on the Wang-Landau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conventional ...
Junseok Kwon (Seoul National University), Kyoung M...
DEXAW
2010
IEEE
172views Database» more  DEXAW 2010»
13 years 8 months ago
Monte Carlo Study of Taxonomy Evaluation
: Monte Carlo Study of Taxonomy Evaluation Alexander Ulanov, Georgy Shevlyakov, Nikolay Lyubomishchenko, Pankaj Mehra, Vladimir Polutin HP Laboratories HPL-2010-147 Taxonomy evalu...
Alexander Ulanov, Georgy Shevlyakov, Nikolay Lyubo...
KI
2010
Springer
13 years 5 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
ECCV
2008
Springer
14 years 9 months ago
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
Abstract. We propose a novel tracking algorithm based on the WangLandau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conv...
Junseok Kwon, Kyoung Mu Lee
TSP
2008
178views more  TSP 2008»
13 years 7 months ago
Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems
In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO...
F. Septier, Yves Delignon, A. Menhaj-Rivenq, Chris...