Publications related to Patching large missing gaps of dissolved oxygen data in an intermittent stream: comparison of interpolation techniques, including machine learning models

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

In developing partial least squares calibration models, selecting the number of latent variables used for their construction to minimize both model bias and model variance remains a challenge. Several metrics exist for incorporating these trade-offs, but t ...

Wiley-Blackwell2015

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Michael Lehning, Wolf Hendrik Huwald, Bettina Schaefli, Aurélien Gallice

Stream temperature is a hydrological factor which affects the habitat suitability of many aquatic species, and is therefore of great concern in the actual context of climate change. Its prediction in ungauged basins is usually based on statistical approach ...

2015

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Dimitri Nestor Alice Van De Ville, Thierry Blu, Zafer Dogan

Finite rate of innovation (FRI) is a recent framework for sampling and reconstruction of a large class of parametric signals that are characterized by finite number of innovations (parameters) per unit interval. In the absence of noise, exact recovery of F ...

Institute of Electrical and Electronics Engineers2015

Calibration of optical tweezers with non-spherical probes via high-resolution detection of Brownian motion

László Forró, Richard Gaal, Flavio Maurizio Mor, Sylvia Jeney

Optical tweezers are commonly used and powerful tools to perform force measurements on the piconewton scale and to detect nanometer-scaled displacements. However, the precision of these instruments relies to a great extent on the accuracy of the calibratio ...

Elsevier Science Bv2015

A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

An ubiquitous assessment of swimming velocity (main metric of the performance) is essential for the coach to provide a tailored feedback to the trainee. We present a probabilistic framework for the data-driven estimation of the swimming velocity at every c ...

Elsevier Science Bv2015

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Finite element modeling of the WC-10 wt.% Co thermal stresses: Build-up and phase specific strain response during cyclic loading

Daniele Mari, Emiliano Campitelli

Several finite element models of the morphology of WC-10 wt.% Co were employed to reproduce the build-up of thermal residual stresses as well as the phase specific strain during loading-unloading in compression. The different models differ only in their ge ...

Elsevier Sci Ltd2015

Can Multi-Channel FID Navigators Quantify Head Motion?

Rolf Gruetter, Tobias Kober, Michael Herbst, Matthias Seeger, Gunnar Krüger

This work investigates the ability of free induction decay (FID) navigators to provide information on rigid head motion. FID navigators were incorporated in a gradient-echo sequence. In parallel, optical tracking data was acquired and served as the ground ...

2013

Semi-Supervised Novelty Detection using SVM entire solution path

Jean-Philippe Thiran, Devis Tuia, Volker Gass, Frank Grégoire Jean de Morsier, Maurice Borgeaud

Very often, the only reliable information available to perform change detection is the description of some unchanged regions. Since sometimes these regions do not contain all the relevant information to identify their counterpart (the changes), we consider ...

Institute of Electrical and Electronics Engineers2013

Analysis of linearization error for goal-oriented adaptivity of nonlinear problems

Luca Dede'

We propose in this talk to address the issue and effect of linearization in the quality of the error estimates in quantities of interest for strongly nonlinear problems. It is well known that the error representation in this case can be decomposed into two ...

International Center for Numerical Methods in Engineering (CIMNE)2013

Patching large missing gaps of dissolved oxygen data in an intermittent stream: comparison of interpolation techniques, including machine learning models

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Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Calibration of optical tweezers with non-spherical probes via high-resolution detection of Brownian motion

A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Finite element modeling of the WC-10 wt.% Co thermal stresses: Build-up and phase specific strain response during cyclic loading

Can Multi-Channel FID Navigators Quantify Head Motion?

Semi-Supervised Novelty Detection using SVM entire solution path

Analysis of linearization error for goal-oriented adaptivity of nonlinear problems

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Finite element modeling of the WC-10 wt.% Co thermal stresses: Build-up and phase specific strain response during cyclic loading

Analysis of linearization error for goal-oriented adaptivity of nonlinear problems

Sparsistency of $\ell_1$-Regularized $M$-Estimators

A Bayesian Approach for Pervasive Estimation of Breaststroke Velocity Using a Wearable IMU

A New Analytical Model for the Prediction of Stream Temperature in Ungauged Basins

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Calibration of optical tweezers with non-spherical probes via high-resolution detection of Brownian motion

Semi-Supervised Novelty Detection using SVM entire solution path

Can Multi-Channel FID Navigators Quantify Head Motion?