The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Abstract— Fast virus scanning is becoming increasingly important in today’s Internet. While Moore’s law continues to double CPU cycle speed, virus scanning applications fail ...
We propose an efficient technique for normal map acquisition, using a cheap and easy to build setup. Our setup consists solely of off-the-shelf components, such as an LCD screen,...
Yannick Francken, Chris Hermans, Tom Cuypers, Phil...
Abstract. For autonomy in underwater robotics it is essential to develop context-driven controllers, capable of leading from perception to action without human intervention. One of...
Otar Akanyeti, Maria-Camilla Fiazza, Paolo Fiorini
The advent of cloud computing provides a cheap and convenient mechanism for scientists to share data. The utility of such data is obviously enhanced when the provenance of the dat...
Kiran-Kumar Muniswamy-Reddy, Peter Macko, Margo I....