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» Approaches to Compute Workflow Complexity
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ECCV
2004
Springer
15 years 3 months ago
Combining Simple Models to Approximate Complex Dynamics
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
Leonid Taycher, John W. Fisher III, Trevor Darrell
DEBS
2010
ACM
15 years 12 days ago
Complex event processing synergies with predictive analytics
For Complex Event Processing (CEP), the synergy with Predictive Analytics (PA) is a promising research direction. In this paper we focus on the inclusion of PA technologies into C...
Gabriella Toth, Lajos Jeno Fülöp, L&aacu...
ICCV
2011
IEEE
13 years 10 months ago
A String of Feature Graphs Model for Recognition of Complex Activities in Natural Videos
Videos usually consist of activities involving interactions between multiple actors, sometimes referred to as complex activities. Recognition of such activities requires modeling ...
Utkarsh Gaur, Yingying Zhu, Bi Song, Amit Roy-Chow...
BMCBI
2005
94views more  BMCBI 2005»
14 years 10 months ago
T.I.M.S: TaqMan Information Management System, tools to organize data flow in a genotyping laboratory
Background: Single Nucleotide Polymorphism (SNP) genotyping is a major activity in biomedical research. The Taqman technology is one of the most commonly used approaches. It produ...
Stéphanie Monnier, David G. Cox, Tim Albion...
ICANN
2010
Springer
14 years 10 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora