This is Matlab/C implementation for learning the output kernel for multiple tasks using the method described in  
Pratik Jawanpuria, Maksim Lapin, Matthias Hein and Bernt Schiele, 
Efficient Output Kernel Learning for Multiple Tasks. NIPS 2015.
Cite the above paper if you are using this code.

Install:
--------
Makefile is provided. Please type 'make' in the shell prompt. The executables will be created in the folder 'mex'. Executables complied in x86_64 GNU/Linux are provided.

Usage of code: 
--------------
Please see run_experiments.m for usage details.

LICENSE:
--------
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, version 3 of the License.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <http://www.gnu.org/licenses/>.

If you use this code, please include a reference to the paper: 
Pratik Jawanpuria, Maksim Lapin, Matthias Hein and Bernt Schiele. Efficient Output Kernel Learning for Multiple Tasks. NIPS 2015.

(C)2014-15 Pratik Jawanpuria, Maksim Lapin, Matthias Hein and Bernt Schiele
Machine Learning Group, Saarland University, Germany
http://www.ml.uni-saarland.de
Computer Vision and Multimodal Computing, Max-Planck-Institut für Informatik, Germany
https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/

CONTACT:
--------
For problems/suggestions/success stories contact:
Pratik Jawanpuria - pratik.jawanpuria@uni-saarland.de

