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» Classification of integral lattices with large class number
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KDD
2008
ACM
140views Data Mining» more  KDD 2008»
14 years 10 months ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
JMLR
2006
156views more  JMLR 2006»
13 years 9 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
BMCBI
2010
122views more  BMCBI 2010»
13 years 9 months ago
An automated framework for understanding structural variations in the binding grooves of MHC class II molecules
Background: MHC/HLA class II molecules are important components of the immune system and play a critical role in processes such as phagocytosis. Understanding peptide recognition ...
Kalidas Yeturu, Tapani Utriainen, Graham J. L. Kem...
CVPR
2006
IEEE
14 years 3 months ago
Discriminative Object Class Models of Appearance and Shape by Correlatons
This paper presents a new model of object classes which incorporates appearance and shape information jointly. Modeling objects appearance by distributions of visual words has rec...
Silvio Savarese, John M. Winn, Antonio Criminisi
ICIP
2010
IEEE
13 years 7 months ago
Network of evolutionary binary classifiers for classification and retrieval in macroinvertebrate databases
In this paper, we focus on advanced classification and data retrieval schemes that are instrumental when processing large taxonomical image datasets. With large number of classes,...
Serkan Kiranyaz, Moncef Gabbouj, Jenni Pulkkinen, ...