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» Three Approaches to Probability Model Selection
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110
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IJAR
2010
130views more  IJAR 2010»
14 years 11 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
130
Voted
AFRIGRAPH
2006
ACM
15 years 6 months ago
A GPU based saliency map for high-fidelity selective rendering
The computation of high-fidelity images in real-time remains one of the key challenges for computer graphics. Recent work has shown that by understanding the human visual system,...
Peter Longhurst, Kurt Debattista, Alan Chalmers
108
Voted
SIGIR
2005
ACM
15 years 6 months ago
Server selection methods in hybrid portal search
The TREC .GOV collection makes a valuable web testbed for distributed information retrieval methods because it is naturally partitioned and includes 725 web-oriented queries with ...
David Hawking, Paul Thomas
109
Voted
TEC
2008
118views more  TEC 2008»
15 years 12 days ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld