This paper presents an iterative maximum likelihood framework for motion segmentation via the pairwise checking of pixel blocks. We commence from a characterisation of the motion ...
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
In this paper we present a novel algorithm to identify LPV systems with affine parameter dependence operating under open and closed-loop conditions. A factorization is introduced w...
We develop new algorithmic and cryptographic techniques for authenticating the results of queries over databases that are outsourced to an untrusted responder. We depart from previ...
Michael T. Goodrich, Roberto Tamassia, Nikos Trian...
The query performance for tracing tags depends upon the distribution of tag trajectories in the data space. We examine a more efficient representation of tag trajectories by means ...