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ESANN
2006
15 years 8 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
15 years 6 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
146
Voted
RC
2007
83views more  RC 2007»
15 years 6 months ago
Computing the Pessimism of Inclusion Functions
Abstract. “Computing the pessimism” means bounding the overestimation produced by an inclusion function. There are two important distinctions with classical error analysis. Fir...
Gilles Chabert, Luc Jaulin
CORR
2011
Springer
183views Education» more  CORR 2011»
15 years 1 months ago
Reconstruction of Binary Functions and Shapes from Incomplete Frequency Information
The characterization of a binary function by partial frequency information is considered. We show that it is possible to reconstruct the binary signal from incomplete frequency me...
Yu Mao
ICASSP
2011
IEEE
14 years 10 months ago
Efficiency evaluation and orthogonal basis determination in functional HRTF modeling
This paper consider the problem of how to evaluate the efficiency of a 3D continuous functional HRTF model in representing measured data. The proposed method is based on Karhunen...
Mengqiu Zhang, Rodney A. Kennedy, Thushara D. Abha...