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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...
VLDB
2001
ACM
86views Database» more  VLDB 2001»
14 years 1 months ago
Intelligent Rollups in Multidimensional OLAP Data
In this paper we propose a new operator for advanced exploration of large multidimensional databases. The proposed operator can automatically generalize from a specific problem c...
Gayatri Sathe, Sunita Sarawagi
KDD
2001
ACM
124views Data Mining» more  KDD 2001»
14 years 9 months ago
Tri-plots: scalable tools for multidimensional data mining
We focus on the problem of finding patterns across two large, multidimensional datasets. For example, given feature vectors of healthy and of non-healthy patients, we want to answ...
Agma J. M. Traina, Caetano Traina Jr., Spiros Papa...
CVPR
2007
IEEE
14 years 11 months ago
A contextual dissimilarity measure for accurate and efficient image search
In this paper we present two contributions to improve accuracy and speed of an image search system based on bag-of-features: a contextual dissimilarity measure (CDM) and an effici...
Herve Jegou, Hedi Harzallah, Cordelia Schmid
ICASSP
2011
IEEE
13 years 1 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...