This paper addresses the problem of making text mining results more comprehensible to humanities scholars, journalists, intelligence analysts, and other researchers, in order to s...
Anthony Don, Elena Zheleva, Machon Gregory, Sureyy...
Abstract. In this paper, we propose a novel representation, called Multiscale Block Local Binary Pattern (MB-LBP), and apply it to face recognition. The Local Binary Pattern (LBP) ...
Interfaces to information systems, and the buildings in which such systems are embedded will typically be the result of the work of a large number of different disciplines, potenti...
Due to process variations in deep sub-micron (DSM) technologies, the effects of timing defects are difficult to capture. This paper presents a novel coverage metric for estimating...
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...