- There are two types of models useful in the study of worm propagation for a given number of terminals in a trusted network i.e. deterministic and stochastic model. The determinis...
Pervasive computing is becoming a reality, thanks to advances in wireless networking and increased popularity of portable devices. Users of these devices will need support to deci...
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Human behavior recognition is one of the most important and challenging objectives performed by intelligent vision systems. Several issues must be faced in this domain ranging fro...
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...