We approach the problem of stylistic motion synthesis by learning motion patterns from a highly varied set of motion capture sequences. Each sequence may have a distinct choreogra...
Today’s world of increasingly dynamic computing environments naturally results in more and more data being available as fast streams. Applications such as stock market analysis,...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
This paper describes transparent mechanisms for emulating some of the data distribution facilities offered by traditional data-parallel programming models, such as High Performance...
Dimitrios S. Nikolopoulos, Theodore S. Papatheodor...
We present a framework for a wireless health monitoring system within a smart home using ZigBee technology. Vital signals are collected and processed using a 3-tiered architecture...