We address the problem of signal compression, basing on the mathematical model, in which a set of all possible signals is considered as a function space with a metric . The main a...
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
Machine-generated documents containing semi-structured text are rapidly forming the bulk of data being stored in an organisation. Given a feature-based representation of such data,...
Abstract—This paper presents an annotation tool for the manual and region-based annotation of still images. The selection of regions is achieved by navigating through a Partition...
Abstract. Supporting for updating XML documents has recently attracted interest. This paper presents a novel declarative XML update language, which is an extension of the XML-RL qu...