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» A cutting plane method for solving KYP-SDPs
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CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 5 months ago
Support Vector Machine Classification with Indefinite Kernels
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
Ronny Luss, Alexandre d'Aspremont
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 10 days ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
ICML
2004
IEEE
14 years 6 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
13 years 3 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
PAMI
2006
111views more  PAMI 2006»
13 years 5 months ago
Stereo Matching with Linear Superposition of Layers
In this paper, we address stereo matching in the presence of a class of non-Lambertian effects, where image formation can be modeled as the additive superposition of layers at diff...
Yanghai Tsin, Sing Bing Kang, Richard Szeliski