Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
From time to time, state-of-the-art contrast enhancement algorithms face undesired drawbacks, like loss of tiny details, enhancement of image noise, occasional overenhancement, an...
Combating Web spam has become one of the top challenges for Web search engines. State-of-the-art spam detection techniques are usually designed for specific known types of Web spa...
The success of the Semantic Web depends on the availability of Web pages annotated with metadata. Free form metadata or tags, as used in social bookmarking and folksonomies, have ...
Data storage has become an important issue in sensor networks as a large amount of collected data need to be archived for future information retrieval. This paper introduces stora...