In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
This paper describes our experiences in exploring the applicability of software engineering approaches to scientific data management problems. Specifically, this paper describes h...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
Web search engines are facing formidable performance challenges as they need to process thousands of queries per second over billions of documents. To deal with this heavy workloa...
The contribution of this paper includes three folders: (1) To introduce a topic-oriented query expansion model based on the Information Bottleneck theory that classify terms into ...
We present results from a study examining how American Protestant Christians' faith affects their domestic life. There are two contributions of this work for the HCI communit...