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...
Generative design theories are needed to b ridge the gaps between pure scientific knowledge, individual ("point") designs and systematic generation of viable design alte...
Abstract. In this paper we propose an approach to automatically produce test cases allowing to check the satis ability of a linear property on a given implementation. Linear proper...
Abstract. This work focuses on characterizing scenery images. We semantically divide the objects in natural landscape scenes into background and foreground and show that the shapes...
This paper presents a new approach for diagnosing stuck-at and short faults in interconnects whose layouts are known. This structural approach exploits dierent graph coloring and ...