Publications associées à M-estimateur

Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation

Jean-Philippe Thiran, Marco Pizzolato, Thomas Yu

We present a voxel-wise Bayesian multi-compartment T2 relaxometry fitting method based on Hamiltonian Markov Chain Monte Carlo (HMCMC) sampling. The T 2 spectrum is modeled as a mixture of truncated Gaussian components, which involves the estimation of par ...

IEEE2019

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Jan Skaloud, Stéphane Guerrier, Mehran Khaghani

Proper modeling of stochastic errors in inertial sensors plays a crucial role in the achievable quality of GNSS-INS integration especially with low-cost inertial sensors. Generalized Method of Wavelet Moments (GMWM) can model the underlying process for suc ...

2019

Atmospheric evolution of molecular-weight-separated brown carbon from biomass burning

Athanasios Nenes, Kalliopi Violaki

Biomass burning is a major source of atmospheric brown carbon (BrC), and through its absorption of UV/VIS radiation, it can play an important role in the planetary radiative balance and atmospheric photochemistry. The considerable uncertainty of BrC impact ...

COPERNICUS GESELLSCHAFT MBH2019

Sequential model identification of reaction systems-The missing path between the incremental and simultaneous approaches

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Modeling chemical reaction systems is an important but complex task. The identified kinetic model must be able to explain all the underlying rate processes such as chemical reactions and heat and mass transfers. Traditionally, the modeling task is carried ...

2019

Angular Accuracy of Steerable Feature Detectors

Michaël Unser, Julien René Pierre Fageot, Arash Amini, Zsuzsanna Püspöki, John Paul Ward

The detection of landmarks or patterns is of interest for extracting features in biological images. Hence, algorithms for finding these keypoints have been extensively investigated in the literature, and their localization and detection properties are well ...

SIAM PUBLICATIONS2019

Incremental Parameter Estimation under Rank-Deficient Measurement Conditions

Dominique Bonvin, Julien Léo Billeter

The computation and modeling of extents has been proposed to handle the complexity of large-scale model identification tasks. Unfortunately, the existing extent-based framework only applies when certain conditions apply. Most typically, it is required that ...

2019

Evolution of Topics and Novelty in Science

Orion B Penner

Methods of estimating the similarity between individual publications is an area of long-standing interest in the scientometrics community. Traditional methods have generally relied on references and other metadata, while text mining approaches based on tit ...

INT SOC SCIENTOMETRICS & INFORMETRICS-ISSI2019

Continuation Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

Fabio Nobile, Pénélope Leyland, Michele Pisaroni

The majority of problems in aircraft production and operation require decisions made in the presence of uncertainty. For this reason, aerodynamic designs obtained with traditional deterministic optimization techniques seeking only optimality in a specific ...

2019

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M-estimateur

Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Atmospheric evolution of molecular-weight-separated brown carbon from biomass burning

Sequential model identification of reaction systems-The missing path between the incremental and simultaneous approaches

Angular Accuracy of Steerable Feature Detectors

Incremental Parameter Estimation under Rank-Deficient Measurement Conditions

Evolution of Topics and Novelty in Science

Continuation Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

Tightly Coupled GNSS/INS Integration based on Robust M-Estimators

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Graph Chatbot

Chattez avec Graph Search

Sequential model identification of reaction systems-The missing path between the incremental and simultaneous approaches

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Evolution of Topics and Novelty in Science

Continuation Multilevel Monte Carlo Evolutionary Algorithm for Robust Aerodynamic Shape Design

Atmospheric evolution of molecular-weight-separated brown carbon from biomass burning

Incremental Parameter Estimation under Rank-Deficient Measurement Conditions

Angular Accuracy of Steerable Feature Detectors

Tightly Coupled GNSS/INS Integration based on Robust M-Estimators

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation