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JSAC
2006
104views more  JSAC 2006»
15 years 6 months ago
Queue Proportional Scheduling via Geometric Programming in Fading Broadcast Channels
For fading broadcast channels (BC), a throughput optimal scheduling policy called queue proportional scheduling (QPS) is presented via geometric programming (GP). QPS finds a data ...
Kibeom Seong, Ravi Narasimhan, John M. Cioffi
JSAC
2006
137views more  JSAC 2006»
15 years 6 months ago
Adaptive Defense Against Various Network Attacks
In defending against various network attacks, such as distributed denial-of-service (DDoS) attacks or worm attacks, a defense system needs to deal with various network conditions a...
Cliff Changchun Zou, Nick G. Duffield, Donald F. T...
NECO
2008
170views more  NECO 2008»
15 years 6 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
FGCS
2007
86views more  FGCS 2007»
15 years 6 months ago
A grid-based approach for enterprise-scale data mining
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
Ramesh Natarajan, Radu Sion, Thomas Phan
PAMI
2008
302views more  PAMI 2008»
15 years 6 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
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