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CVPR
2005
IEEE
16 years 6 months ago
A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 5 months ago
Self-managing agents for dynamic scheduling in manufacturing
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
Ana Madureira, Filipe Santos, Ivo Pereira
ISCI
2010
111views more  ISCI 2010»
15 years 2 months ago
Effective vaccination policies
We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. This fra...
L. Shaw, W. Spears, L. Billings, P. Maxim
INFOCOM
2010
IEEE
15 years 2 months ago
Multicast Scheduling with Cooperation and Network Coding in Cognitive Radio Networks
—Cognitive Radio Networks (CRNs) have recently emerged as a promising technology to improve spectrum utilization by allowing secondary users to dynamically access idle primary ch...
Jin Jin, Hong Xu, Baochun Li
ICPR
2008
IEEE
16 years 5 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel