Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
The design of existing mobile phone technology has emphasised the primacy of person-to-person communication for voice, SMS and image-based communication. It may be contrasted with...
Kenton O'Hara, Richard H. R. Harper, Axel Unger, J...
Abstract-- We present two-dimensional (space/time) compression techniques that reduce test data volume and test application time for scan testing of intellectual property (IP) core...
Lei Li, Krishnendu Chakrabarty, Seiji Kajihara, Sh...