Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically insp...
Yaoru Sun, Robert B. Fisher, Fang Wang, Herman Mar...
Abstract—Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language an...
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be ...
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...