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CVPR
2007
IEEE
15 years 9 months ago
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association
We propose a framework for general multiple target tracking, where the input is a set of candidate regions in each frame, as obtained from a state of the art background learning, ...
Qian Yu, Gérard G. Medioni, Isaac Cohen
HICSS
2009
IEEE
104views Biometrics» more  HICSS 2009»
15 years 10 months ago
Multiple Social Networks Analysis of FLOSS Projects using Sargas
Due to their characteristics and claimed advantages, several researchers have been investigating free and open-source projects. Different aspects are being studied: for instance, ...
Samuel Felix de Sousa Jr., Marco Antonio Balieiro,...
CTW
2006
88views more  CTW 2006»
15 years 3 months ago
Using multiple cognitive task analysis methods for supervisory control interface design in high-throughput biological screening
Cognitive task analysis (CTA) approaches are currently needed in many domains to provide explicit guidance on redesigning existing systems. This study used goal-directed task analy...
David B. Kaber, Noa Segall, Rebecca S. Green, K. E...
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 4 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
140
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BMCBI
2007
174views more  BMCBI 2007»
15 years 3 months ago
Normalization method for metabolomics data using optimal selection of multiple internal standards
Background: Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific so...
Marko Sysi-Aho, Mikko Katajamaa, Laxman Yetukuri, ...