Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
This paper presents a prototype-driven framework for classifying evolving data streams. Our framework uses cluster prototypes to summarize the data and to determine whether the cur...
This paper proposes a general framework for searching large distributed repositories. Examples of such repositories include sites with music/video content, distributed digital lib...
This paper proposes an architectural framework for integrating services within an enterprise and accessing them from mobile devices in a pervasive-computing environment. Present n...
In this paper, a generic bi-directional framework is proposed for parametric image alignment, that extends the classification of [1]. Four main categories (Forward, Inverse, Depend...