Abstract. This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks....
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...
Efficient algorithms for compressing geometric data have been widely developed in the recent years, but they are mainly designed for closed polyhedral surfaces which are manifold ...
: This paper proposes a pipelined, systolic architecture for two- dimensional discrete Fourier transform computation which is highly concurrent. The architecture consists of two, o...
We consider the following problem: can we construct constant-round zero-knowledge proofs (with negligible soundness) for NP assuming only the existence of one-way permutations? We...
S. Dov Gordon, Hoeteck Wee, David Xiao, Arkady Yer...