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BMCBI
2010
182views more  BMCBI 2010»
13 years 7 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...
VECPAR
2004
Springer
14 years 26 days ago
Message Strip-Mining Heuristics for High Speed Networks
In this work we investigate how the compiler technique of message strip mining performs in practice on contemporary high performance networks. Message strip mining attempts to redu...
Costin Iancu, Parry Husbands, Wei Chen
IPPS
2007
IEEE
14 years 1 months ago
POET: Parameterized Optimizations for Empirical Tuning
The excessive complexity of both machine architectures and applications have made it difficult for compilers to statically model and predict application behavior. This observatio...
Qing Yi, Keith Seymour, Haihang You, Richard W. Vu...
CF
2006
ACM
13 years 11 months ago
The potential of the cell processor for scientific computing
The slowing pace of commodity microprocessor performance improvements combined with ever-increasing chip power demands has become of utmost concern to computational scientists. As...
Samuel Williams, John Shalf, Leonid Oliker, Shoaib...
ICB
2009
Springer
188views Biometrics» more  ICB 2009»
14 years 2 months ago
Pixelwise Local Binary Pattern Models of Faces Using Kernel Density Estimation
Local Binary Pattern (LBP) histograms have attained much attention in face image analysis. They have been successfully used in face detection, recognition, verification, facial ex...
Timo Ahonen, Matti Pietikäinen