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» Application of Level Set Methods in Computer Vision
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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
14 years 28 days ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
SIGGRAPH
1998
ACM
14 years 1 months ago
Visibility Sorting and Compositing Without Splitting for Image Layer Decompositions
We present an efficient algorithm for visibility sorting a set of moving geometric objects into a sequence of image layers which are composited to produce the final image. Inste...
John M. Snyder, Jed Lengyel
MLDM
2007
Springer
14 years 3 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
ATAL
2006
Springer
14 years 23 days ago
Failures of the VCG mechanism in combinatorial auctions and exchanges
The VCG mechanism is the canonical method for motivating bidders in combinatorial auctions and exchanges to bid truthfully. We study two related problems concerning the VCG mechan...
Vincent Conitzer, Tuomas Sandholm
BMCBI
2008
160views more  BMCBI 2008»
13 years 9 months ago
Dynamic sensitivity analysis of biological systems
Background: A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is alw...
Wu Hsiung Wu, Feng Sheng Wang, Maw Shang Chang
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