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IWANN
2007
Springer
16 years 8 days ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
211
Voted
CVPR
2005
IEEE
15 years 11 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
163
Voted
ECIR
2010
Springer
15 years 7 months ago
Evaluating Server Selection for Federated Search
Abstract. Previous evaluations of server selection methods for federated search have either used metrics which are unconnected with user satisfaction, or have not been able to acco...
Paul Thomas, Milad Shokouhi
ICMLA
2008
15 years 7 months ago
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
In this work, a new learning paradigm called target selection is proposed, which can be used to test for associations between a single genetic variable and a multidimensional, qua...
Johannes Mohr, Sambu Seo, Imke Puis, Andreas Heinz...
174
Voted
EC
2007
101views ECommerce» more  EC 2007»
15 years 6 months ago
Revisiting Negative Selection Algorithms
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to ...
Zhou Ji, Dipankar Dasgupta