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svmplus_matlab

An implementation of SVM+ with MATLAB QP solver. It has also been tested with MOSEK QP solver.

A faster implementation of kernel SVM+ based on a new SVM+ formulation is also released. You need libsvm to run it.

If you feel it is useful, please cite the following papers:

Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, and Luc Van Gool, “Fast Algorithms for Linear and Kernel SVM+,” IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2016

For any question, please contact Wen Li via [email protected].

Dependencies

The libsvm library is needed. I have included a compiled mex file (Windows64 version). For other platform, please

• download the latest libsvm package, and run "<LIBSVM_ROOT>/matlab/make.m" to comiple the mex file compatiable to your OS.
• Put the obtained mex file in the folder of libsvm+, or add the folder containing mex file to your matlab paths at the beginning of demo_mnist_svmplus.m addpath('<LIBSVM_ROOT>/matlab/')

How to use

Simple. Run "demo_mnist_svmplus.m", and see the results^_^.

Copyright

Non-commercial use only. All rights reserved.