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» Introduction to Randomized Algorithms
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ICASSP
2009
IEEE
15 years 10 months ago
Compressive confocal microscopy
In this paper, a new approach for Confocal Microscopy (CM) based on the framework of compressive sensing is developed. In the proposed approach, a point illumination and a random ...
Peng Ye, José L. Paredes, Gonzalo R. Arce, ...
118
Voted
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 10 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski
148
Voted
CIKM
2009
Springer
15 years 10 months ago
Feature selection for ranking using boosted trees
Modern search engines have to be fast to satisfy users, so there are hard back-end latency requirements. The set of features useful for search ranking functions, though, continues...
Feng Pan, Tim Converse, David Ahn, Franco Salvetti...
SIGMETRICS
2009
ACM
182views Hardware» more  SIGMETRICS 2009»
15 years 10 months ago
The age of gossip: spatial mean field regime
Disseminating a piece of information, or updates for a piece of information, has been shown to benefit greatly from simple randomized procedures, sometimes referred to as gossipi...
Augustin Chaintreau, Jean-Yves Le Boudec, Nikodin ...
151
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ICDCS
2008
IEEE
15 years 10 months ago
Correlation-Aware Object Placement for Multi-Object Operations
A multi-object operation incurs communication or synchronization overhead when the requested objects are distributed over different nodes. The object pair correlations (the probab...
Ming Zhong, Kai Shen, Joel I. Seiferas