Concept

Multicollinearity

Related publications (20)

Accurate drainage network extraction and monitoring in a high-mountain catchment

Andrea Rinaldo, Marc Parlange, Raphaël Mutzner

We study the accuracy of channel network extraction methods obtained in two subcatchments of an alpine watershed in Switzerland and compare the results to the ones obtained with the real network, carefully monitored with a high precision DGPS during Summer ...

2013

Incremental Identification of Reaction and Mass-Transfer Rates In Gas-Liquid Reaction Systems Using Tendency Modeling

Dominique Bonvin, Nirav Pravinbhai Bhatt

The identification of reliable reaction and mass-transfer rates is important for building first-principles models of gas-liquid reaction systems. The identification of these rates involves the determination of a model structure (reaction stoichiometry, rat ...

2011

Calibration of Ultra-high-precision Robots Operating in an Unsteady Environment

Emanuele Lubrano

In recent years nanotechnology has become an enabling technology for the development and fabrication of new innovative products. The growth of micro- and nano-manufacturing lies in the ability of converting micro- and nano-fabrication techniques into mass- ...

EPFL2011

Comparative Analysis of Various Single-tone Frequency Estimation Techniques in High-order Instantaneous Moments Based Phase Estimation Method

Pramod Rastogi, Sai Siva Gorthi

For phase estimation in digital holographic interferometry, a high-order instantaneous moments (HIM) based method was recently developed which relies on piecewise polynomial approximation of phase and subsequent evaluation of the polynomial coefficients us ...

AIP Conf. Proc.2010

Thermal Behavior of an Ultra High-Precision Linear Axis Operating in Industrial Environment

Reymond Clavel, Emanuele Lubrano

Thermal expansion is the major source of inaccuracy for ultra high-precision robots. In this paper we propose a strategy to model and compensate this effect. The experiment is run using a 1 DOF (degree-of-freedom) parallel robot equipped with ten temperatu ...

Schönenfeld & Ziegler2008

Recursive Risk Estimation For Non-Linear Image Deconvolution With A Wavelet-Domain Sparsity Constraint

Michaël Unser, Cédric René Jean Vonesch, Sathish Ramani

We propose, a recursive data driven risk estimation method for non-linear iterative: deconvolution. Our two main contributions are 1) a solution domain risk-estimation approach that is applicable to nonlinear restoration algorithms for ill-conditioned inve ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Recursive Risk Estimation For Non-Linear Image Deconvolution With A Wavelet-Domain Sparsity Constraint

Michaël Unser, Cédric René Jean Vonesch, Sathish Ramani

We propose a recursive data-driven risk-estimation method for non-linear iterative deconvolution. Our two main contributions are 1) a solution-domain risk-estimation approach that is applicable to non-linear restoration algorithms for ill-conditioned inver ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Recursive Risk Estimation for Non-Linear Image Deconvolution with a Wavelet-Domain Sparsity Constraint

Michaël Unser, Cédric René Jean Vonesch, Sathish Ramani

IEEE2008

Gaussian Process Belief Propagation

Matthias Seeger

The framework of graphical models is a cornerstone of applied Statistics, allowing for an intuitive graphical specification of the main features of a model, and providing a basis for general Bayesian inference computations though belief propagation (BP). I ...

MIT Press2007

A uniqueness result concerning a robust regularized least-squares solution

Ali H. Sayed

In solving a robust version of regularized least squares with weighting, a certain scalar-valued optimization problem is required in order to determine the regularized robust solution and the corresponding robustified weighting parameters. This letter esta ...

Elsevier2002

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