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NC
1998
140views Neural Networks» more  NC 1998»
15 years 7 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
ADCM
2010
129views more  ADCM 2010»
15 years 6 months ago
Construction of positive definite cubature formulae and approximation of functions via Voronoi tessellations
Let Rd be a compact convex set of positive measure. In a recent paper, we established a definiteness theory for cubature formulae of order two on . Here we study extremal propert...
Allal Guessab, Gerhard Schmeisser
COMCOM
2008
82views more  COMCOM 2008»
15 years 6 months ago
Virtual password using random linear functions for on-line services, ATM machines, and pervasive computing
People enjoy the convenience of on-line services, Automated Teller Machines (ATMs), and pervasive computing, but online environments, ATMs, and pervasive computing may bring many r...
Ming Lei, Yang Xiao, Susan V. Vrbsky, Chung-Chih L...
EOR
2008
103views more  EOR 2008»
15 years 6 months ago
New complexity analysis of IIPMs for linear optimization based on a specific self-regular function
Primal-dual Interior-Point Methods (IPMs) have shown their ability in solving large classes of optimization problems efficiently. Feasible IPMs require a strictly feasible startin...
Maziar Salahi, M. Reza Peyghami, Tamás Terl...
CCE
2007
15 years 6 months ago
Adaptive optimisation of noisy black-box functions inherent in microscopic models
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...
Eddie Davis, Marianthi G. Ierapetritou