Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
We address the problem of recovering 3D models from uncalibrated images of architectural scenes. We propose a simple, geometrically intuitive method which exploits the strong rigi...
Roberto Cipolla, Duncan P. Robertson, Edmond Boyer
Recent research advocates using general message predictors to learn and predict the coherence activity in distributed shared memory (DSM). By accurately predicting a message and t...
Construction of complex software systems with largely off-the-shelf components has become a reality with the wide availability and acceptance of component frameworks and distribut...
William J. McIver Jr., Karim Keddara, Christian Oc...
Extensible systems, such as Java or the SPIN extensible operating system, allow for units of code, or extensions, to be added to a running system in almost arbitrary fashion. Exte...