Matlab mex wrapper for Latent Structural SVM (Jan 2017)

Implemented by Zhile Ren based on

1. the SVM-light code by Thorsten Joachims,

2. latent S-SVM code by Chun-Nam Yu and

3. SVMstruct-matlab by Dr Andrea Vedaldi.

INSTALLATION

1. See Makefile to specify matlab directories.
2. Type 'make' in the directory and make sure that the compilation is successful.
3. Currently the code only supports 64-bit linux systems.
4. Currently the code only support linear kernels.

EXAMPLE

script_test.m contain a simple SVM example to get you started. The example is adapted from svm-struct-matlab: http://www.robots.ox.ac.uk/~vedaldi//svmstruct.html.

REFERENCES

[1] C.-N. Yu and T. Joachims: Learning Structural SVMs with Latent Variables, ICML 2009

[2] I. Tsochantaridis, T. Hofmann, T. Joachims, and Y. Altun: Support Vector Learning for Interdependent and Structured Output Spaces, ICML 2004

[3] A. Vedaldi: MATLAB wrapper of SVM-Struct. http://www.robots.ox.ac.uk/~vedaldi//svmstruct.html