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» An Adaptive Supersampling Method
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CVPR
2012
IEEE
11 years 11 months ago
Adaptive figure-ground classification
We propose an adaptive figure-ground classification algorithm to automatically extract a foreground region using a user-provided bounding-box. The image is first over-segmented wi...
Yisong Chen, Antoni B. Chan, Guoping Wang
SSDBM
2010
IEEE
142views Database» more  SSDBM 2010»
13 years 6 months ago
Efficient and Adaptive Distributed Skyline Computation
Skyline queries have attracted considerable attention over the last few years, mainly due to their ability to return interesting objects without the need for user-defined scoring f...
George Valkanas, Apostolos N. Papadopoulos
TSMC
2011
258views more  TSMC 2011»
13 years 3 months ago
Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
JMLR
2010
162views more  JMLR 2010»
13 years 3 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
ACL
2011
13 years 15 days ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov