Publications related to Classical music

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

Martin Vetterli, Adam James Scholefield, Karen Adam

Sampling is classically performed by recording the amplitude of the input at given time instants; however, sampling and reconstructing a signal using multiple devices in parallel becomes a more difficult problem to solve when the devices have an unknown sh ...

2020

An edge detector based on artificial neural network with application to hybrid Compact-WENO finite difference schemes

Jan Sickmann Hesthaven, Zhen Gao

A new approach is proposed to detect edges based on an artificial neural network (ANN). Some elementary continuous and discontinuous functions interpolated in the polynomial space and their continuity are used as the training sets to train a back propagati ...

Springer/Plenum2020

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Pascal Fua, Mathieu Salzmann, Agata Justyna Mosinska, Mateusz Kozinski

The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, we show that we can train a Deep Net to perform 3D volumetric delineation giv ...

ELSEVIER2020

Is There ‘ONE way’ of Learning? A Data-driven Approach

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir

Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, i ...

2020

Quantifying high-order interdependencies via multivariate extensions of the mutual information

Michael Christoph Gastpar, Fernando Rosas de Andraca

This paper introduces a model-agnostic approach to study statistical synergy, a form of emergence in which patterns at large scales are not traceable from lower scales. Our framework leverages various multivariate extensions of Shannon's mutual information ...

2019

Development of Sample-Adaptable Holders for Lightsheet Microscopy

Thierry Laroche, Olivier Burri, Arne Seitz, Lalit Kumar Dubey

Multi-user core microscopy facilities are often faced with the challenge to adapt or modify existing instruments. This is essential in order to fulfill the requirements of the user community, who wants to image a wide range of model organisms with varying ...

FRONTIERS MEDIA SA2019

Statistical characteristics of tonal harmony: A corpus study of Beethoven’s string quartets

Martin Alois Rohrmeier, Fabian Claude Moss, Markus Franz Josef Neuwirth, Daniel Harasim

Tonal harmony is one of the central organization systems of Western music. This article characterizes the statistical foundations of tonal harmony based on the computational analysis of expert annotations in a large corpus. Using resampling methods, this s ...

2019

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Matthieu Jean-Michel Philippe Broisin, Jonathan Roth

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and classical image processing algorithms are most commonly used for this task. Recent developments in deep learning can yield superior accuracy, but typical evaluati ...

WILEY2019

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Classical music

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

In vitro investigations of red blood cell phase separation in a complex microchannel network

An edge detector based on artificial neural network with application to hybrid Compact-WENO finite difference schemes

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Is There ‘ONE way’ of Learning? A Data-driven Approach

Quantifying high-order interdependencies via multivariate extensions of the mutual information

Development of Sample-Adaptable Holders for Lightsheet Microscopy

Statistical characteristics of tonal harmony: A corpus study of Beethoven’s string quartets

Bimolecular charge transfer reactions at and through the liquid-liquid interface

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Graph Chatbot

Chat with Graph Search

Sampling and Reconstruction of Bandlimited Signals with Multi-Channel Time Encoding

In vitro investigations of red blood cell phase separation in a complex microchannel network

An edge detector based on artificial neural network with application to hybrid Compact-WENO finite difference schemes

Is There ‘ONE way’ of Learning? A Data-driven Approach

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Quantifying high-order interdependencies via multivariate extensions of the mutual information

Development of Sample-Adaptable Holders for Lightsheet Microscopy

Statistical characteristics of tonal harmony: A corpus study of Beethoven’s string quartets

Bimolecular charge transfer reactions at and through the liquid-liquid interface

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images