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ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
ADHOC
2005
143views more  ADHOC 2005»
15 years 6 months ago
Active query forwarding in sensor networks
While sensor networks are going to be deployed in diverse application specific contexts, one unifying view is to treat them essentially as distributed databases. The simplest mech...
Narayanan Sadagopan, Bhaskar Krishnamachari, Ahmed...
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 6 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
16 years 23 days ago
Deep belief net learning in a long-range vision system for autonomous off-road driving
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco S...
AINA
2007
IEEE
16 years 21 days ago
Heuristics for Improving Cryptographic Key Assignment in a Hierarchy
In hierarchical distributed systems, shared data access can be controlled by assigning user groups single cryptographic keys that allow high level users derive low level keys, but...
Anne V. D. M. Kayem, Patrick Martin, Selim G. Akl