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» Feature Correspondence: A Markov Chain Monte Carlo Approach
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CVPR
2010
IEEE
1208views Computer Vision» more  CVPR 2010»
14 years 3 months ago
Visual Tracking Decomposition
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time....
Junseok Kwon (Seoul National University), Kyoung M...
GLOBECOM
2008
IEEE
14 years 1 months ago
Low-Complexity Hybrid QRD-MCMC MIMO Detection
In this paper, we propose a novel hybrid QRD-MCMC MIMO detector that combines the feature of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm i...
Ronghui Peng, Koon Hoo Teo, Jinyun Zhang, Rong-Ron...
JCB
2008
159views more  JCB 2008»
13 years 7 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
14 years 4 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
BMCBI
2008
105views more  BMCBI 2008»
13 years 7 months ago
A Bayesian method for calculating real-time quantitative PCR calibration curves using absolute plasmid DNA standards
Background: In real-time quantitative PCR studies using absolute plasmid DNA standards, a calibration curve is developed to estimate an unknown DNA concentration. However, potenti...
Mano Sivaganesan, Shawn Seifring, Manju Varma, Ric...