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ICML
2007
IEEE
15 years 11 months ago
Support cluster machine
For large-scale classification problems, the training samples can be clustered beforehand as a downsampling pre-process, and then only the obtained clusters are used for training....
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue
ICCV
2007
IEEE
15 years 4 months ago
Support Kernel Machines for Object Recognition
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...
Ankita Kumar, Cristian Sminchisescu
CVPR
2011
IEEE
14 years 1 months ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
ICML
2005
IEEE
15 years 11 months ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai
ISPDC
2008
IEEE
15 years 4 months ago
A Runtime System Architecture for Ubiquitous Support of OpenMP
In this work we present the runtime architecture of the OMPi OpenMP compiler. OMPi is a source-to-source C translator featuring a portable, modular and extensible runtime system. ...
Giorgos Ch. Philos, Vassilios V. Dimakopoulos, Pan...