Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Efficiently rendering highly structured models distant from the viewer constitutes a difficult task since the geometric complexity has to be reduced extremely while simultaneously...
: An adhoc network is a collection of wireless mobile nodes dynamically forming a temporary network without the use of any existing network infrastructure or centralized administra...
HDPS is a practical system for designing modeling paradigms, creating hierarchal model definitions, and evaluating multi-paradigm models - particularly in business and finance. HD...
We present a new interface for producing high quality web deliverable interactive 3D facial animation. We aim at providing visual artists with established 3D character animation t...
Nicoletta Adamo-Villani, Amit Chourasia, Clark A. ...