System-level design presents special simulation modeling challenges. System-level models address the architectural and functional performance of complex systems. Systems are decom...
Gunar Schorcht, Ian A. Troxel, Keyvan Farhangian, ...
We explore the phenomena of subjective randomness as a case study in understanding how people discover structure embedded in noise. We present a rational account of randomness per...
Super-resolution aims to produce a high-resolution image from a set of one or more low-resolution images by recovering or inventing plausible high-frequency image content. Typical...
Lyndsey C. Pickup, Stephen J. Roberts, Andrew Ziss...
We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
In this paper we present a framework to formally describe and study the interconnection of distributed shared memory systems. In our models we minimize the dependencies between the...