Fast Linear binary SVM classifier

版本 1.3.0.0 (94.3 KB) 作者: Sebastien PARIS
Fast implementation of Linear binary SVM via BLAS/OpenMP API
3.3K 次下载
更新时间 2020/1/29

查看许可证

LSVM v 3.0
---------
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
------------

Run "mexme_lsvm.m" to compile mex-files.

Testing
-------

Run "test_lsvm.m" for demo

Online help by typing pegasos_train or cddcsvm_train in matlab prompt.

References :
----------
[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/

引用格式

Sebastien PARIS (2024). Fast Linear binary SVM classifier (https://www.mathworks.com/matlabcentral/fileexchange/33621-fast-linear-binary-svm-classifier), MATLAB Central File Exchange. 检索来源 .

MATLAB 版本兼容性
创建方式 R2018b
兼容任何版本
平台兼容性
Windows macOS Linux
类别
Help CenterMATLAB Answers 中查找有关 Classification 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
版本 已发布 发行说明
1.3.0.0

Fixed bugs & compatible with modern Matlab & OS64

1.2.0.0

- Fix a bug for single precision
- Fix a crash for large-scale data with OS64

1.1.0.0

-Cosmetic changes

1.0.0.0