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ANCS
2010
ACM
14 years 8 months ago
An architecture for software defined cognitive radio
As we move forward towards the next generation of wireless protocols, the push for a better radio physical layer is ever increasing. Conventional radio architectures are limited t...
Aveek Dutta, Dola Saha, Dirk Grunwald, Douglas C. ...
INFOCOM
2012
IEEE
13 years 1 months ago
Squeezing the most out of interference: An optimization framework for joint interference exploitation and avoidance
—There is a growing interest in exploiting interference (rather than avoiding it) to increase network throughput. In particular, the so-called successive interference cancellatio...
Canming Jiang, Yi Shi, Y. Thomas Hou, Wenjing Lou,...
CAISE
2005
Springer
15 years 4 months ago
Capitalizing on Awareness of User Tasks for Guiding Self-Adaptation
Abstract. Computers support more and more tasks in the personal and professional activities of users. Such user tasks increasingly span large periods of time and many locations acr...
João Pedro Sousa, Vahe Poladian, David Garl...
SBRN
1998
IEEE
15 years 3 months ago
A Neural Architecture for the Identification of Number Sequences
This paper describes an architecture based on spatiotemporal networks that identifies sequences of numbers. This architecture incorporates an input layer that transforms (by means...
Juan Moreno García, Gabriel Sebastiá...
NECO
2008
170views more  NECO 2008»
14 years 11 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