Publications related to Standard error

Using footstep-induced vibrations for occupant detection and recognition in buildings

Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira

Occupant detection and recognition support functional goals such as security, healthcare, and energy management in buildings. Typical sensing approaches, such as smartphones and cameras, undermine the privacy of building occupants and inherently affect the ...

2021

Context-Aware Learning for Generative Models

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Serafeim Perdikis

This work studies the class of algorithms for learning with side-information that emerges by extending generative models with embedded context-related variables. Using finite mixture models (FMMs) as the prototypical Bayesian network, we show that maximum- ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Directional Cross-Correlation for Improved Aberration Phase Estimation in Pulse-Echo Speed-of-Sound Imaging

Jean-Philippe Thiran, Samuel Denys Beuret, Simon Canales

There has been a recent surge in methods targeting the recovery of a speed-of-sound map from pulse-echo ultrasound measurements. We focused in this work on a particular technique and identified a drawback shared by similar methods - namely the necessity of ...

IEEE2021

A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems

Assyr Abdulle, Giacomo Garegnani

We present a novel probabilistic finite element method (FEM) for the solution and uncertainty quantification of elliptic partial differential equations based on random meshes, which we call random mesh FEM (RM-FEM). Our methodology allows to introduce a pr ...

ELSEVIER SCIENCE SA2021

On the drivers of droplet variability in Alpine mixed-phase clouds

Athanasios Nenes, Alexis Berne, Paraskevi Georgakaki, Maxime Hervo, Jörg Wieder

Droplet formation provides a direct microphysical link between aerosols and clouds (liquid or mixed-phase), and its adequate description poses a major challenge for any atmospheric model. Observations are critical for evaluating and constraining the proces ...

2021

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

Assyr Abdulle, Giacomo Garegnani

EPFL2021

On the drivers of droplet variability in alpine mixed-phase clouds

Athanasios Nenes, Alexis Berne, Paraskevi Georgakaki, Maxime Hervo, Jörg Wieder

2021

Adaptive Social Learning

Ali H. Sayed, Virginia Bordignon

This work proposes a novel strategy for social learning by introducing the critical feature of adaptation. In social learning, several distributed agents update continually their belief about a phenomenon of interest through: i) direct observation of strea ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Nikolaos Geroliminis, Emmanouil Barmpounakis

The work proposes a multi-modal regional mean speed regression analysis for the city network of Athens, Greece. The dataset from pNUEMA experiment is used in the present context. Accumulations and mean speeds of different modes are estimated and compared t ...

2021

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Standard error

Using footstep-induced vibrations for occupant detection and recognition in buildings

Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow

Context-Aware Learning for Generative Models

Directional Cross-Correlation for Improved Aberration Phase Estimation in Pulse-Echo Speed-of-Sound Imaging

A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems

On the drivers of droplet variability in Alpine mixed-phase clouds

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

On the drivers of droplet variability in alpine mixed-phase clouds

Adaptive Social Learning

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Graph Chatbot

Chat with Graph Search

Using footstep-induced vibrations for occupant detection and recognition in buildings

A probabilistic finite element method based on random meshes: A posteriori error estimators and Bayesian inverse problems

Two mixed finite element formulations for the weak imposition of the Neumann boundary conditions for the Darcy flow

Context-Aware Learning for Generative Models

Directional Cross-Correlation for Improved Aberration Phase Estimation in Pulse-Echo Speed-of-Sound Imaging

MATHICSE Technical Report : A probabilistic finite element method based on random meshes: Error estimators and Bayesian inverse problems

On the drivers of droplet variability in alpine mixed-phase clouds

On the drivers of droplet variability in Alpine mixed-phase clouds

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Adaptive Social Learning