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» Boosted Optimization for Network Classification
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CPAIOR
2010
Springer
14 years 8 months ago
Boosting Set Constraint Propagation for Network Design
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...
Justin Yip, Pascal Van Hentenryck, Carmen Gervet
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
15 years 3 months ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
EDBT
2008
ACM
194views Database» more  EDBT 2008»
15 years 9 months ago
XCraft: boosting the performance of active XML materialization
An active XML (AXML) document contains tags representing calls to Web services. Therefore, retrieving its contents consists in materializing its data elements by invoking the embe...
Gabriela Ruberg, Marta Mattoso
CORR
2008
Springer
159views Education» more  CORR 2008»
14 years 9 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
CVPR
2004
IEEE
15 years 11 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic