Publications related to Correspondence analysis

Related publications (12)

La mécanique sociale des mobilités. Enquête sur les inégalités de déplacements quotidiens dans trois espaces frontaliers européens

At the crossroads of transportation engineering and urban sociology, the dissertation deciphers the interactions between daily mobility and social inequalities, what I call the "social mechanics of mobility". To do so, I draw on a twofold survey, both quan ...

EPFL2023

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Pascal Fua, Sean Lewis Hill, Jiancheng Yang, Amos Sironi, Jian Yang

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in m ...

Nature Publishing Group2023

A visual working memory dataset collection with bootstrap Independent Component Analysis for comparison of electroencephalographic preprocessing pipelines

Fiorenzo Artoni

Here we present an electroencephalographic (EEG) collection of 71-channel datasets recorded from 14 subjects (7 males, 7 females, aged 20–40 years) while performing a visual working memory task with a T set of 150 Independent Component Analysis (ICA) decom ...

2019

Fourier dimensionality reduction for fast radio transients

Jean-Philippe Thiran, Yves Wiaux, Vijay Kartik, Ming Jiang

In the context of next-generation radio interferometers, we are facing a big challenge of how to economically process data. The classical dimensionality reduction technique, averaging visibilities on time, may dilute fast radio transients (FRT). We propose ...

2019

Hybrid Golay-coded Brillouin optical time-domain analysis based on differential pulses

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang

Different approaches to implement unipolar Golay coding in Brillouin optical time-domain analysis based on a differential pulse pair (DPP) are investigated. The analysis points out that dedicated post-processing procedures must be followed to secure the sh ...

2018

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Pascal Fua, Mathieu Salzmann, Kwang Moo Yi, Yinlin Hu, Zheng Dang

Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be solved by ﬁnding the eigenvector corresponding to the smallest, or zero, eigenvalue of a matrix representing a linear sy ...

2018

Scalable Low-rank Matrix and Tensor Decomposition on Graphs

Nauman Shahid

In many signal processing, machine learning and computer vision applications, one often has to deal with high dimensional and big datasets such as images, videos, web content, etc. The data can come in various forms, such as univariate or multivariate time ...

EPFL2017

Fourier dimensionality reduction of radio-interferometric data

Jean-Philippe Thiran, Yves Wiaux, Rafael Eduardo Carrillo Rangel, Vijay Kartik

Next-generation radio-interferometers face a computing challenge with respect to the imaging techniques that can be applied in the big data setting in which they are designed. Dimensionality reduction can thus provide essential savings of computing resourc ...

2017

Distributed static linear Gaussian models using consensus

Pavle Belanovic

Algorithms for distributed agreement are a powerful means for formulating distributed versions of existing centralized algorithms. We present a toolkit for this task and show how it can be used systematically to design fully distributed algorithms for stat ...

Elsevier2012

Stakeholder-based Scenarios for Post-2012 Climate Policy: A Participatory Approach

Philippe Thalmann, Ronal Gainza Carmenates, Juan Carlos Altamirano Cabrera

We performed a study to define the key elements of feasible global climate policy scenarios for the post-2012 UNFCCC regime by contacting – through a series of questionnaires – 149 stakeholders involved in climate-change discussions. We applied a Multiple ...

2009

Classification of magnetic resonance images from rabbit renal perfusion

Dominique Bonvin, Michael Amrhein, Pamandeep Singh Gujral

The feasibility of using chemometric techniques for the automatic detection of whether a rabbit kidney is pathological or not is studied. Sequential images of the kidney are acquired using Dynamic Contrast-Enhanced Magnetic Resonance Imaging with contrast ...

2009

Evaporation from three water bodies of diﬀerent sizes and climates: Measurements and scaling analysis

Marc Parlange, Shirit Cohen, Gabriel George Katul

Evaporation from small reservoirs, wetlands, and lakes continues to be a theoretical and practical problem in surface hydrology and micrometeorology because atmospheric ﬂows above such systems can rarely be approximated as stationary and planar-homogeneous ...

2008