Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...
Models of computation like Kahn and dataflow process networks provide convenient means for modeling signal processing applicahis is partly due to the abstract primitives that thes...
Paul Lieverse, Pieter van der Wolf, Ed F. Deprette...
Probabilistic inference problems arise naturally in distributed systems such as sensor networks and teams of mobile robots. Inference algorithms that use message passing are a nat...
Building the hardware for a high-performance distributed computer system is a lot easier than building its software. In this paper we describe a model for programtributed systems ...
Andrew S. Tanenbaum, Henri E. Bal, M. Frans Kaasho...
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...