We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
This paper presents a low-overhead scheme for built-in self-test of circuits with scan. Complete (100%) fault coverage is obtained without modifying the function logic and without...
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...
A new probabilistic background model based on a Hidden Markov Model is presented. The hidden states of the model enable discrimination between foreground, background and shadow. Th...
Abstract—Provisioning random access functions in peer-topeer on-demand video streaming is challenging, due to not only the asynchronous user interactivity but also the unpredicta...