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» Entropy Numbers, Operators and Support Vector Kernels
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ISPASS
2007
IEEE
14 years 1 months ago
Performance Impact of Unaligned Memory Operations in SIMD Extensions for Video Codec Applications
—Although SIMD extensions are a cost effective way to exploit the data level parallelism present in most media applications, we will show that they had have a very limited memory...
Mauricio Alvarez, Esther Salamí, Alex Ram&i...
ICML
2010
IEEE
13 years 8 months ago
COFFIN: A Computational Framework for Linear SVMs
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
Sören Sonnenburg, Vojtech Franc
LCTRTS
2005
Springer
14 years 1 months ago
Generation of permutations for SIMD processors
Short vector (SIMD) instructions are useful in signal processing, multimedia, and scientific applications. They offer higher performance, lower energy consumption, and better res...
Alexei Kudriavtsev, Peter M. Kogge
NIPS
2000
13 years 9 months ago
The Kernel Trick for Distances
A method is described which, like the kernel trick in support vector machines (SVMs), lets us generalize distance-based algorithms to operate in feature spaces, usually nonlinearl...
Bernhard Schölkopf
KES
2008
Springer
13 years 7 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito