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A maximum curvature step and geodesic displacement for nonlinear least square...
We adress in this paper the choice of both the step and the curve of the parameter space to be used in the line search search part of descent algorithms for the... -
The Output Least Squares Identifiability of the Diffusion Coefficient from an...
Output least squares identifiability for the diffusion coefficient in an elliptic equation in dimension two is analyzed. This guarantees Lipschitz stability of the... -
Robustness of Phylogenetic Inference Based on Minimum Evolution
Epub ahead of print -
Estimation of Parametric Models with Conditional Heteroscedastic Errors
We consider a model with conditional heteroscedastic errors. The model requires only the form of conditional mean and conditional variance functions to be specified.... -
Least-Squares, Sentinels and Substractive Optimally Localized Average
We present with unified notations three approaches to linear parameter estimation: least-squares, sentinels, and Substrative Optimally Localized Average (SOLA). It... -
Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting
Almost all problems in computer vision are related in one form or another to the problem of estimating parameters from noisy data. In this tutorial, we present what is... -
EIV methods for system identification with fractional models
International audience -
Goodness of Fit : Analysis of Residuals
The goodness-of-fit problem is addressed and two among the more efficient tests presently available are revisited and discussed: the autocorrelation method and the... -
Estimation locale des paramètres d'anisotropie en milieux transversalement is...
This study is motivated by the lack of measurements of effective transverse isotropy (TI) at the seismic scale. Then, the purpose is to determine the TI parameters at... -
A Note on k-support Norm Regularized Risk Minimization
The k-support norm has been recently introduced to perform correlated sparsity regularization. Although Argyriou et al. only reported experiments using squared loss,... -
A least-squares formulation for the approximation of null controls for the St...
This note deals with the approximation of distributed null controls for the Stokes equation. The existence of $L^2$ controls have been obtained in \textit{[Fursikov... -
Mass measurements and evaluation around A = 22
Frequency ratio measurements with different combinations of the singly charged ions from 21, 22, 23Na , 22, 24Mg , and 37, 39K were performed at the on-line Penning... -
A novel effective compressed sensing based sparse channel estimation in OFDM ...
International audience -
Evolution of HIV: methods, models and algorithms
Nucleotide sequences data enable the inference of phylogenetic trees, or phylogenies, describing their evolutionary relationships during evolution. Combining these... -
On the high-order reconstruction for Meshfree Particle Methods in Numerical F...
In this work, we extend SPH-ALE schemes to high-order -
Efficient time domain threshold for sparse channel estimation in OFDM system
International audience -
A sufficient condition for parameter identifiability in robotic calibration
International audience -
A Sufficient Condition for Parameter Identifiability in Robotic Calibration
International audience
