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» Feature Correspondence: A Markov Chain Monte Carlo Approach
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ML
2007
ACM
192views Machine Learning» more  ML 2007»
13 years 7 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
ECCV
2008
Springer
15 years 1 days 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...
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

Publication
273views
13 years 2 months ago
Monte Carlo Value Iteration for Continuous-State POMDPs
Partially observable Markov decision processes (POMDPs) have been successfully applied to various robot motion planning tasks under uncertainty. However, most existing POMDP algo...
Haoyu Bai, David Hsu, Wee Sun Lee, and Vien A. Ngo
BMCBI
2007
104views more  BMCBI 2007»
13 years 7 months ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte