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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… 
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Related topics

Related topics

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AMD Core Math LibraryATLASArmadillo C++ LibraryBLAS

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Computational Intelligence Methods in Forward-Looking Explosive Hazard Detection
This chapter discusses several methods for forward-looking (FL) explosive hazard detection (EHD) using FL infrared (FLIR) and FL… 
2016
2016
Combining Heterogeneous User Generated Data to Sense Well-being
In this paper we address a new problem of predicting affect and well-being scales in a real-world setting of heterogeneous… 
2015
2015
Schur Complement Computations in Intel® Math Kernel Library PARDISO
This paper describes a method of calculating the Schur complement of a sparse positive definite matrix A. The main idea of this… 
2015
2015
Blocking and parallelization of the Hari-Zimmermann variant of the Falk-Langemeyer algorithm for the generalized SVD
2014
2014
A lp-norm MTMKL framework for simultaneous detection of multiple facial action units
Facial action unit (AU) detection is a challenging topic in computer vision and pattern recognition. Most existing approaches… 
2014
2014
Multiple kernel learning with NOn-conVex group spArsity
2013
2013
Multi-task Multiple Kernel Learning
We present a general regularization-based framework for Multi-task learning (MTL), in which the similarity between tasks can be… 
2012
2012
BLIS : A Framework for Generating BLAS-like Libraries FLAME Working
We propose the portable BLAS-like Interface Software (BLIS) framework which addresses a number of shortcomings in both the… 
2010
2010
Efficient Independent Component Analysis on a GPU
Several problems in the signal processing field require generating suitable representations of data. One possible form of… 
2008
2008
Multiple kernel learning for speaker verification
Many speaker verification (SV) systems combine multiple classifiers using score-fusion to improve system performance. For SVM… 
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