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IJCNN
2006
IEEE
16 years 15 days ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
ICC
2007
IEEE
176views Communications» more  ICC 2007»
16 years 24 days ago
An Interference-Aware Channel Assignment Scheme for Wireless Mesh Networks
—Multichannel communication in a Wireless Mesh Network with routers having multiple radio interfaces significantly enhances the network capacity. Efficient channel assignment an...
Arunabha Sen, Sudheendra Murthy, Samrat Ganguly, S...
NIPS
1997
15 years 7 months ago
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks
A Lyapunov function for excitatory-inhibitory networks is constructed. The construction assumes symmetric interactions within excitatory and inhibitory populations of neurons, and...
H. Sebastian Seung, Tom J. Richardson, J. C. Lagar...
MSWIM
2004
ACM
15 years 12 months ago
An enhanced HCF for IEEE 802.11e wireless networks
In this paper the behavior of the upcoming MAC protocol for wireless LANs IEEE 802.11e is investigated. Based on the results, we propose an enhancement for Hybrid Coordination Fun...
Balasubramanian Appiah Venkatakrishnan, S. Selvake...
PET
2004
Springer
15 years 11 months ago
On Flow Correlation Attacks and Countermeasures in Mix Networks
In this paper, we address issues related to flow correlation attacks and the corresponding countermeasures in mix networks. Mixes have been used in many anonymous communication s...
Ye Zhu, Xinwen Fu, Bryan Graham, Riccardo Bettati,...