Fast Linear binary SVM classifier
LSVM v 3.0
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Fast Linear SVM binary solver toolbox such PEGASOS/LIBLINEAR.
This toolbox offers fast implementation via mex-files of the two most
popular Linear SVM algorithms for binary classification: PEGASOS [1] and LIBLINEAR [2].
This toolbox can use BLAS/OpenMP API for faster computation on multi-cores processor.
It accepts dense inputs in single/double precision.
For comparaison with [2] in binary case, this package requires less memory and is approximatively between 10% up to 50% faster. Ideal for Large-scale training in computer vision for example
Installation
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Run "mexme_lsvm.m" to compile mex-files.
Testing
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Run "test_lsvm.m" for demo
Online help by typing pegasos_train or cddcsvm_train in matlab prompt.
References :
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[1] S. Shalev-Shwartz, Y. Singer, and N. Srebro. "Pegasos: Primal estimated sub-GrAdient SOlver for SVM."
In Proc. ICML, 2007.
[2] Liblinear: http://www.csie.ntu.edu.tw/~cjlin/liblinear/
Citation pour cette source
Sebastien PARIS (2024). Fast Linear binary SVM classifier (https://www.mathworks.com/matlabcentral/fileexchange/33621-fast-linear-binary-svm-classifier), MATLAB Central File Exchange. Récupéré le .
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Version | Publié le | Notes de version | |
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1.3.0.0 | Fixed bugs & compatible with modern Matlab & OS64 |
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1.2.0.0 | - Fix a bug for single precision
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1.1.0.0 | -Cosmetic changes |
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1.0.0.0 |