We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...
Andrei Z. Broder, Ronny Lempel, Farzin Maghoul, Ja...
We study the application of Unequal Loss Protection (ULP) algorithms to motion-compensated video over lossy packet networks. In particular, we focus on streaming video applications...
Justin Goshi, Richard E. Ladner, Eve A. Riskin, Al...
This paper establishes the theoretical framework of b-bit minwise hashing. The original minwise hashing method has become a standard technique for estimating set similarity (e.g.,...
Abstract. Ontology evolution is a painstaking and time-consuming process, especially in information rich and dynamic domains. While ontology evolution refers both to the adaptation...
Fouad Zablith, Marta Sabou, Mathieu d'Aquin, Enric...
In this paper, we describe the design steps of extending LAOS, a five-layer framework for generic adaptive web learning authoring, by adding a social layer to capture (and adapt) i...