Topic-based text summaries promise to help average users quickly understand a text collection and derive insights. Recent research has shown that the Latent Dirichlet Allocation (...
Aquanet is a collaborative hypertext tool that combines elements of frame-based knowledge representation and graphical presentation. In this paper, we examine the first major appl...
In silico bioinformatics experiments involve integration of and access to computational tools and biological databases. The emerging grid computing technologies enable bioinformat...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
This paper considers the problems of feature variation and concept uncertainty in typical learning-based video semantic classification schemes. We proposed a new online semantic c...