In recent years, segmentation with graph cuts is increasingly used for a variety of applications, such as photo/video editing, medical image processing, etc. One of the most common...
Abstract—Interpolation is the means by which a continuouslydefined model is fit to discrete data samples. When the data samples are exempt of noise, it seems desirable to build...
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
This article describes the use of the medGIFT and easyIR retrieval systems for three of the four ImageCLEF 2005 retrieval tasks. We participated in the ad–hoc retrieval task that...