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CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
IJCV
1998
163views more  IJCV 1998»
13 years 7 months ago
CONDENSATION - Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot repre...
Michael Isard, Andrew Blake
TMC
2010
139views more  TMC 2010»
13 years 6 months ago
Optimize Storage Placement in Sensor Networks
—Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. Storage nodes are introdu...
Bo Sheng, Qun Li, Weizhen Mao
CORR
2011
Springer
234views Education» more  CORR 2011»
13 years 2 months ago
Mutual Information, Relative Entropy, and Estimation in the Poisson Channel
Let X be a non-negative random variable and let the conditional distribution of a random variable Y , given X, be Poisson(γ · X), for a parameter γ ≥ 0. We identify a natural...
Rami Atar, Tsachy Weissman
SLS
2009
Springer
243views Algorithms» more  SLS 2009»
14 years 2 months ago
Estimating Bounds on Expected Plateau Size in MAXSAT Problems
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...