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Demo.m
LICENSE.txt
OxfordFlowersCov.mat
OxfordFlowersPartitionMat.m
README.txt
covMulticlass.m
downloadOxfordFlowers.sh
pascalPartitionMat.m
pascalVOCcov.mat
readOxfordFlowers.m

README.txt

Written by Matthew Blaschko under GPLv3, see LICENSE.txt for a copy.


This code package is a demo of the machine learning methods described in:
   Blaschko, M. B., W. Zaremba, and A. Gretton: Taxonomic Prediction with
   Tree-Structured Covariances. ECML/PKDD, 2013.
   
Full text of the paper is available for download from http://hal.inria.fr/hal-00839775/

The main function of interest is Demo.m, which shows how to use each piece of
functionality.  If you use any of this code in your research, please use the above citation.

This code makes use of the Oxford Flowers dataset.  If you make use of results on this dataset, please cite the relevant papers of M.-E. Nilsback and A. Zisserman.  More information is available from the dataset webpage: http://www.robots.ox.ac.uk/~vgg/data/flowers/

To begin, start matlab and run:
Demo();

If you have any questions or comments, please contact
Matthew Blaschko - matthew.blaschko@inria.fr
copyright (c) 2013