We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
We present a symbolic method for p-semiflow computation, based on zero-suppressed decision diagrams. Both the traditional explicit methods and our new symbolic method rely on Farka...
The scaling of CMOS technology into the nanometer era enables the fabrication of highly integrated systems, which increasingly contain analog and/or RF parts. However, scaling into...
Abstract. In this paper, we further develop the idea of combining pervasive computing techniques with electronic payment systems to create activity-based micro-incentives. Economic...
Network coding is a method for achieving channel capacity in networks. The key idea is to allow network routers to linearly mix packets as they traverse the network so that recipi...
Shweta Agrawal, Dan Boneh, Xavier Boyen, David Man...