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171
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ICCV
2003
IEEE
16 years 8 months ago
Background Modeling and Subtraction of Dynamic Scenes
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
Antoine Monnet, Anurag Mittal, Nikos Paragios, Vis...
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
16 years 1 months ago
A stochastic model of selective visual attention with a dynamic Bayesian network
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
Derek Pang, Akisato Kimura, Tatsuto Takeuchi, Junj...
CLUSTER
2007
IEEE
16 years 1 months ago
Building the communication performance model of heterogeneous clusters based on a switched network
— Analytical communication performance models play an important role in prediction of the execution time of parallel applications on multiprocessors. Apart from designing such a ...
Alexey L. Lastovetsky, Vladimir Rychkov
198
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ICTAI
2007
IEEE
16 years 1 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
CAINE
2007
15 years 8 months ago
Parameter Estimation via Analysis of Fuzzy Clusters (PEAF): An Algorithm to Estimate Parameters of Agent-Based Models
Biologically focused, agent-based models need many parameters in order to simulate system dynamics. It is often essential to explore the consequences of many parameter vectors bef...
Shahab Sheikh-Bahaei, C. Anthony Hunt