Math Kernel Library

Known as: Intel MKL, Intel Math Kernel Library, MKL 
Intel Math Kernel Library (Intel MKL) is a library of optimized math routines for science, engineering, and financial applications. Core math… (More)
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Papers overview

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2015
2015
This paper describes a method of calculating the Schur complement of a sparse positive definite matrix A. The main idea of this… (More)
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Highly Cited
2010
Highly Cited
2010
In image categorization the goal is to decide if an image belongs to a certain category or not. A binary classifier can be… (More)
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Highly Cited
2009
Highly Cited
2009
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects… (More)
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Highly Cited
2009
Highly Cited
2009
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning… (More)
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Highly Cited
2008
Highly Cited
2008
Multiple kernel learning aims at simultaneously learning a kernel and the associated predictor in supervised learning settings… (More)
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Highly Cited
2008
Highly Cited
2008
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination… (More)
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Highly Cited
2007
Highly Cited
2007
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to… (More)
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Highly Cited
2007
Highly Cited
2007
In this paper, we have proposed a fingerprint orientation model based on 2D Fourier expansions (FOMFE) in the phase plane. The… (More)
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Highly Cited
2007
Highly Cited
2007
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This… (More)
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Highly Cited
2006
Highly Cited
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple… (More)
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