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» Properties of Support Vector Machines
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CCGRID
2007
IEEE
16 years 26 days ago
Adaptive Performance Modeling on Hierarchical Grid Computing Environments
In the past, efficient parallel algorithms have always been developed specifically for the successive generations of parallel systems (vector machines, shared-memory machines, d...
Wahid Nasri, Luiz Angelo Steffenel, Denis Trystram
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
15 years 4 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
CGO
2008
IEEE
16 years 1 months ago
Compiling for vector-thread architectures
Vector-thread (VT) architectures exploit multiple forms of parallelism simultaneously. This paper describes a compiler for the Scale VT architecture, which takes advantage of the ...
Mark Hampton, Krste Asanovic
ICASSP
2008
IEEE
16 years 29 days ago
Language recognition with discriminative keyword selection
One commonly used approach for language recognition is to convert the input speech into a sequence of tokens such as words or phones and then to use these token sequences to deter...
Fred S. Richardson, William M. Campbell
ICPR
2008
IEEE
16 years 29 days ago
Effective shrinkage of large multi-class linear svm models for text categorization
When linear support vector machines (SVMs) are applied to multi-class text categorization in industry, the size of the linear SVM model is very large, usually greater than several...
Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak