In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
We introduce a method for actively controlling the illumination in a room so that it is consistent with a virtual world. In combination with a high dynamic range display, the syst...
Abhijeet Ghosh, Matthew Trentacoste, Helge Seetzen...
Design combinatorial theory for test-case generation has been used successfully in the past. It is useful in optimizing test cases as it is practically impossible to exhaustively t...
This paper extends the model theory of RDF with rules, placing an emphasis on integration with OWL and decidability of entailstart from an abstract syntax that views a rule as a pa...
We study the problem of applying adaptive filters for approximate query processing in a distributed stream environment. We propose filter bound assignment protocols with the obj...
Reynold Cheng, Ben Kao, Sunil Prabhakar, Alan Kwan...