Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Information theory provides a range of useful methods to analyse probability distributions and these techniques have been successfully applied to measure information flow and the ...
Konstantinos Chatzikokolakis, Tom Chothia, Apratim...
List-based priority schedulers have long been one of the dominant classes of static scheduling algorithms. Such heuristics have been predominantly based around the "critical ...
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
In this paper we describe a hybrid sender and receiver-based adaptation scheme for multicast transmission of multimedia data using layered encoding, which we call SRAMT-LE (Sender-...