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ICONIP
2010
15 years 5 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada
ICTAI
2009
IEEE
15 years 4 months ago
Merging Qualitative Constraint Networks in a Piecewise Fashion
We address the problem of merging qualitative constraints networks (QCNs). We point out a merging algorithm which computes a consistent QCN representing a global view of the input...
Jean-François Condotta, Souhila Kaci, Pierr...
ICUIMC
2011
ACM
14 years 10 months ago
A cross-layer design for resource allocation and congestion control in multichannel multi-hop cognitive radio networks
Efficient and fair resource allocation associated with congestion control in multi-hop cognitive radio networks (CRN) is a challenging problem. In this paper, we consider their mu...
Nguyen Van Mui, Choong Seon Hong
ICPR
2006
IEEE
16 years 7 months ago
Rotation-Invariant Neoperceptron
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
Beat Fasel, Daniel Gatica-Perez
INFOCOM
2007
IEEE
16 years 24 days ago
Randomized Decentralized Broadcasting Algorithms
— We consider the problem of broadcasting a live stream of data in an unstructured network. Broadcasting has been studied extensively for networks with capacity constraints at th...
Laurent Massoulié, Andrew Twigg, Christos G...