We present a novel technique for the animation of turbulent fluids by coupling a procedural turbulence model with a numerical fluid solver to introduce subgrid-scale flow detail. ...
Rahul Narain, Jason Sewall, Mark Carlson, Ming C. ...
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Multi-hop communication objectives and constraints impose a set of challenging requirements that create difficult conditions for simultaneous optimization of features such as scala...
Milenko Drinic, Darko Kirovski, Lin Yuan, Gang Qu,...
Abstract--Path openings and closings are morphological operations with flexible line segments as structuring elements. These line segments have the ability to adapt to local image ...
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...