IPL at CLEF 2016 Medical Task
In this paper we present the image classification techniques performed by the IPL Group for the subfigure classification subtask of ImageCLEF 2016 Medical Task. For the visual representation of images, various state of the art visual features, such as, Bag of Visual Words computed with pyramid histogram of visual words descriptors and quadtree bag of colors were adopted. We present the results of our runs and our extensive experiments applying early or late fusion on the results obtained from a multi class linear kernel support vector machine. Our top run was ranked 3rd among 34 runs.
CLEF