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IJON
2008
118views more  IJON 2008»
13 years 7 months ago
Incremental extreme learning machine with fully complex hidden nodes
Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden nodes, IEEE Trans. Neural Networks 17(4) (2006) 879
Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheon...
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
13 years 5 months ago
Reduced complexity models in the identification of dynamical networks: Links with sparsification problems
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...
BROADNETS
2006
IEEE
14 years 1 months ago
Complexity of Converter Placement Supporting Broadcast in WDM Networks
Abstract— Wavelength converters simplify the wavelength assignment problem in virtual topology design in optical networks and increase the utilization of the fiber bandwidth. Ho...
Rudra Dutta, Prashant Iyer, Carla D. Savage
ETS
2006
IEEE
106views Hardware» more  ETS 2006»
14 years 1 months ago
"Analogue Network of Converters": A DFT Technique to Test a Complete Set of ADCs and DACs Embedded in a Complex SiP or SOC
In this paper, complex mixed signal circuits such as SiP or SOC including several ADCs and DACs are considered. A new DFT technique is proposed allowing the test of this complete ...
Vincent Kerzerho, Philippe Cauvet, Serge Bernard, ...
ACSAC
2005
IEEE
14 years 1 months ago
Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...
Steven Noel, Sushil Jajodia