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» Building a Stochastic Dynamic Model of Application Use
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IJAR
2008
118views more  IJAR 2008»
15 years 6 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
ICASSP
2011
IEEE
14 years 10 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
ACMSE
2005
ACM
16 years 6 days ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
CAV
2009
Springer
135views Hardware» more  CAV 2009»
16 years 7 months ago
Sliding Window Abstraction for Infinite Markov Chains
Window Abstraction for Infinite Markov Chains Thomas A. Henzinger1 , Maria Mateescu1 , and Verena Wolf1,2 1 EPFL, Switzerland 2 Saarland University, Germany Abstract. We present an...
Thomas A. Henzinger, Maria Mateescu, Verena Wolf
SOCO
2005
Springer
16 years 4 days ago
Improving Composition Support with Lightweight Metadata-Based Extensions of Component Models
Software systems that rely on the component paradigm build new components by assembling existing prefabricated components. Most currently available IDEs support graphical component...
Johann Oberleitner, Michael Fischer