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ICML
2009
IEEE
14 years 2 months ago
Using fast weights to improve persistent contrastive divergence
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...
Tijmen Tieleman, Geoffrey E. Hinton
IJSN
2007
106views more  IJSN 2007»
13 years 7 months ago
Hash-AV: fast virus signature scanning by cache-resident filters
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 ...
Ozgun Erdogan, Pei Cao
CRV
2008
IEEE
100views Robotics» more  CRV 2008»
14 years 2 months ago
Fast Normal Map Acquisition Using an LCD Screen Emitting Gradient Patterns
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...
SAB
2010
Springer
156views Optimization» more  SAB 2010»
13 years 5 months ago
Attentional Mechanisms for Lateral Line Sensing through Spectral Analysis
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
FAST
2009
13 years 5 months ago
Making a Cloud Provenance-Aware
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....