To efficiently compress rasterized compound documents, an encoder must be content-adaptive. Content adaptivity may be achieved by using a layered approach. In such an approach, a ...
George Pavlidis, Sofia Tsekeridou, Christodoulos C...
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
The application of patterns is used as a foundation for many central design decisions in software architecture, but because of the informal nature of patterns, these design decisi...
Uwe Zdun, Paris Avgeriou, Carsten Hentrich, Schahr...
Clustering short length texts is a difficult task itself, but adding the narrow domain characteristic poses an additional challenge for current clustering methods. We addressed thi...
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...