The dramatic growth of computer networks creates both an opportunity and a daunting distributed computing problem for users seeking to build applications that can configure themse...
Kenneth P. Birman, Robbert van Renesse, James Kauf...
This paper introduces FARA, a framework that provides abstractions and mechanisms for building integrated adaptation and resource allocation services in complex real-time systems....
Hierarchical representations, such as irregular pyramids, are the bases of several applications in the field of discrete imagery. So, ndimensional "bottom-up" irregular p...
Mehdi Baba-ali, Guillaume Damiand, Xavier Skapin, ...
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...