Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Abstract. Known compact e-cash schemes are constructed from signature schemes with efficient protocols and verifiable random functions. In this paper, we introduce a different ap...
Physics-based compact modeling, as opposed to the conventional empirical approach, is emphasized for nanoscale nonclassical CMOS. UFDG, a physics-based compact model for generic d...
Vishal P. Trivedi, Jerry G. Fossum, Leo Mathew, Mu...
In this paper we describe a serializer component completely realized in .NET managed code, able to run on a stripped versions of the .NET platform (e.g., Compact Framework) and st...