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BMCBI
2010
182views more  BMCBI 2010»
13 years 9 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
ICCV
1999
IEEE
14 years 11 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
WWW
2005
ACM
14 years 9 months ago
Web-assisted annotation, semantic indexing and search of television and radio news
The Rich News system, that can automatically annotate radio and television news with the aid of resources retrieved from the World Wide Web, is described. Automatic speech recogni...
Mike Dowman, Valentin Tablan, Hamish Cunningham, B...
STOC
2009
ACM
99views Algorithms» more  STOC 2009»
14 years 9 months ago
Testing juntas nearly optimally
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Eric Blais
KDD
2003
ACM
122views Data Mining» more  KDD 2003»
14 years 9 months ago
Discovery of climate indices using clustering
To analyze the effect of the oceans and atmosphere on land climate, Earth Scientists have developed climate indices, which are time series that summarize the behavior of selected ...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Ste...