In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
The recent proliferation of crowd computing initiatives on the web calls for smarter methodologies and tools to annotate, query and explore repositories. There is the need for scal...
Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, ...
For dynamic sales dialogs in electronic commerce scenarios, approaches based on an information gain measure used for attribute selection have been suggested. These measures conside...
While lots of research in ontology matching is related to the issue of computing and refining similarity measures, only little attention has been paid to question how to extract t...
Abstract— We present a novel approach to automatically extracting summary excerpts from audio and video. Our approach is to maximize the average similarity between the excerpt an...