This paper addresses the problem of classifying actions performed by a human subject in a video sequence. A representation eigenspace approach based on the visual appearance is us...
Carlo Colombo, Dario Comanducci, Alberto Del Bimbo
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
In the last years, as object-oriented software systems became more and more complex, the need of performing automatically reverse engineering upon these systems has increased sign...
Tensors occur in many areas of science and engineering. Especially, they are used to describe charge, mass and energy transport (i.e. electrical conductivity tensor, diffusion ten...
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...