In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Abstract-The emergence of small, inexpensive, networkcapable sensing devices led to a great deal of research on the design and implementation of sensor networks. A critical step in...
Riccardo Crepaldi, Simone Friso, Albert F. Harris ...
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Whenever we feel those ‘higher’ and hard to define sensations like synchronicity, love, wholeness, and appreciation is this a pattern or illuminative system that is part of a ...