****************************************
******** Matlab code for MildML ********
****************************************

To compile, run "mexall" in matlab, or use the provided linux x86_64
compiled mex file.

Libpthread is required for multi-threading.

If you use this code for a publication, please cite either two papers:
@InProceedings{GVS10a,
  author       = "Matthieu Guillaumin and Jakob Verbeek and Cordelia Schmid",
  title        = "Multiple instance metric learning from automatically labeled bags of faces",
  booktitle    = "European Conference on Computer Vision",
  month        = "sep",
  year         = "2010",
  url          = "http://lear.inrialpes.fr/pubs/2010/GVS10a"
}
@InProceedings{GVS09,
  author       = "Matthieu Guillaumin and Jakob Verbeek and Cordelia Schmid",
  title        = "Is that you? Metric learning approaches for face identification",
  booktitle    = "International Conference on Computer Vision",
  pages        = "498--505",
  month        = "sep",
  year         = "2009",
  keywords     = "LEAR, LJK, CLASS",
  url          = "http://lear.inrialpes.fr/pubs/2009/GVS09"
}

****************************************
************** Copyrights **************
****************************************
mildml*:
Copyright (C) 2009 - 2010 by Matthieu Guillaumin, INRIA

minimize.m:
Copyright (C) 2001 - 2006 by Carl Edward Rasmussen (2006-09-08).

compute_tasks.c:
Copyright (C) by Matthijs Douze, INRIA

