Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
Parameterized model checking refers to any method that extends traditional, finite-state model checking to handle systems arbitrary number of processes. One popular approach to thi...
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...