Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
This work presents MUSE, a graphical environment for modeling interactive networked multimedia applications. Through an advanced graphic interface and a new highlevel authoring mod...
Luciano Paschoal Gaspary, Maria Janilce B. Almeida
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
Christian Reinbacher, Thomas Pock, Christian Bauer...
This paper addresses the problem of category-level image classification. The underlying image model is a graph whose nodes correspond to a dense set of regions, and edges reflec...
The emergence of applications operating independently of direct human control is inevitable. Research on high-level models for this class of applications— e.g. on autonomous age...