This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Reuse of application software has been limited and sometimes has led to accidents. This paper suggests some requirements for successful and safe application software reuse and dem...
This paper examines a time reversal beamforming imager for detecting early stage breast cancer tumors. We use numerical simulations and electromagnetic tissue experiments to valid...
Intelligent tutoring systems have demonstrated their utility in a variety of domains. However, they are notoriously resource intensive to build. We report here on the development ...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...
We present our development of an XML compression and querying tool, which is called XML Compression and Querying System (XCQ). This system is developed based on a novel technique ...
Wai Yeung Lam, Wilfred Ng, Peter T. Wood, Mark Lev...