Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation
Uri Avni, Jacob H. Goldberger, Hayit Greenspan · 2009
This paper describes our participation at the ImageClef 2009 medical annotation task. In this task we have used the bag-of-words approach for image representation. We submitted one run, using support-vector-machines trained on the visual word histograms in multiple scales. In this task our result ranked first, with error score of 852.8.