Abstract—We present a set of modeling constructs accompanied by a high performance simulation kernel for accuracy adaptive transaction level models. In contrast to traditional, ...
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
It is now well known that time invariant (TI) linear beamformers, such as the Capon’s beamformer, are only optimal for stationary Gaussian observations whose complex envelope is...
Pascal Chevalier, Abdelkader Oukaci, Jean Pierre D...