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CVPR
2009
IEEE
16 years 1 months ago
Random walks on graphs to model saliency in images
We formulate the problem of salient region detection in images as Markov random walks performed on images represented as graphs. While the global properties of the image are extra...
Viswanath Gopalakrishnan, Yiqun Hu, Deepu Rajan
AIMSA
2008
Springer
16 years 28 days ago
Incorporating Learning in Grid-Based Randomized SAT Solving
Abstract. Computational Grids provide a widely distributed computing environment suitable for randomized SAT solving. This paper develops techniques for incorporating learning, kno...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
CEC
2007
IEEE
16 years 27 days ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 2 days ago
Phase transition in a random NK landscape model
An analysis for the phase transition in a random NK landscape model is given. For the fixed ratio model, NK(n, k, z), Gao and Culberson [17] showed that a random instance generat...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
DMSN
2004
ACM
16 years 33 min ago
Approximately uniform random sampling in sensor networks
Recent work in sensor databases has focused extensively on distributed query problems, notably distributed computation of aggregates. Existing methods for computing aggregates bro...
Boulat A. Bash, John W. Byers, Jeffrey Considine