Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
Text clustering is potentially very useful for exploration of text sets that are too large to study manually. The success of such a tool depends on whether the results can be expl...
In this paper, dynamic rate shaping for H.264/AVC intracoded video streams is investigated. An analysis of the distortion distinguishes different error components that lead to the...
Stijn Notebaert, Jan De Cock, Kenneth Vermeirsch, ...
Given a collection of documents, various multi-document summarization methods have been proposed to generate a short summary. However, few studies have been reported on aggregatin...
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...