Markov random fields are designed to represent structured dependencies among large collections of random variables, and are well-suited to capture the structure of real-world sign...
Tanya Roosta, Martin J. Wainwright, Shankar S. Sas...
Target tracking and localization are important applications in wireless sensor networks. Although the coverage problem for target detection has been intensively studied, few consi...
Wei Wang 0002, Vikram Srinivasan, Bang Wang, Kee C...
We present a method for solving arbitrary systems of N nonlinear polynomials in n variables over an n-dimensional simplicial domain based on polynomial representation in the baryce...
Martin Reuter, Tarjei S. Mikkelsen, Evan C. Sherbr...
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
This paper presents Process Algebra for Predictible Control Systems (PAPCS) as a model for specifying and analysis of concurrent, time and resource dependent, distributed control s...