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ESANN
2008
13 years 10 months ago
An FPGA-based model suitable for evolution and development of spiking neural networks
We propose a digital neuron model suitable for evolving and growing heterogeneous spiking neural networks on FPGAs using a piecewise linear approximation of the Quadratic Integrate...
Hooman Shayani, Peter J. Bentley, Andrew M. Tyrrel...
TCSV
2008
195views more  TCSV 2008»
13 years 8 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ACL
2006
13 years 10 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
AUTOMATICA
2002
81views more  AUTOMATICA 2002»
13 years 8 months ago
The explicit linear quadratic regulator for constrained systems
For discrete-time linear time invariant systems with constraints on inputs and states, we develop an algorithm to determine explicitly, the state feedback control law which minimi...
Alberto Bemporad, Manfred Morari, Vivek Dua, Efstr...
IJBC
2008
85views more  IJBC 2008»
13 years 8 months ago
Center bifurcation for Two-Dimensional Border-Collision Normal Form
In this work we study some properties associated with the bordercollision bifurcations in a two-dimensional piecewise linear map in canonical form, related to the case in which a ...
Iryna Sushko, Laura Gardini