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TNN
1998
96views more  TNN 1998»
15 years 6 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
TNN
1998
111views more  TNN 1998»
15 years 6 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
TOMACS
2002
113views more  TOMACS 2002»
15 years 6 months ago
Simulating heavy tailed processes using delayed hazard rate twisting
Consider the problem of estimating the small probability that the maximum of a random walk exceeds a large threshold, when the process has a negative drift and the underlying rand...
Sandeep Juneja, Perwez Shahabuddin
TROB
2002
105views more  TROB 2002»
15 years 6 months ago
Theoretical improvements in the stability analysis of a new class of model-free visual servoing methods
This paper concerns the stability analysis of a new class of model-free visual servoing methods. These methods are "model-free" since they are based on the estimation of ...
Ezio Malis, François Chaumette, Sylvie Boud...
TSMC
2002
91views more  TSMC 2002»
15 years 6 months ago
On the sure criticality of tasks in activity networks with imprecise durations
Abstract--The notion of the necessary criticality (both with respect to path and to activity) of a network with imprecisely defined (by means of intervals or fuzzy intervals) activ...
Stefan Chanas, Didier Dubois, Pawel Zielinski