Learning Diverse Models: The Coulomb Structured Support Vector Machine

This repository provides an implementation for

M. Schiegg, F. Diego, F. A. Hamprecht. Learning Diverse Models: The Coulomb Structured Support Vector Machine. Proceedings of the the European Conference on Computer Vision (ECCV 2016), 2016.

@inproceedings{schiegg2016learning,
  title={Learning Diverse Models: The Coulomb Structured Support Vector Machine},
  author={Schiegg, Martin and Diego, Ferran and Hamprecht, Fred A},
  booktitle={European Conference on Computer Vision},
  pages={585--599},
  year={2016},
  organization={Springer}
}

The Coulomb Structured Support Vector Machine (CSSVM) algorithm is implemented as an extension to the pystruct framework.

Installation instruction

1. Install our version of pystruct (which includes the CSSVM extension) and its dependencies (tested on Ubuntu 16.04.1):

   sudo apt-get install python-cvxopt python-scipy python-sklearn python-numpy
   cd ./pystruct
   sudo python setup.py install
   

   If you experience problems while installing pystruct (or one of its dependencies), please check the installation instructions of pystruct.

2. Run a CSSVM example

   python cssvm_example.py