Concept

Analyse canonique des corrélations

Publications associées (52)

Incremental Model Identification using the Concept of Extents

Dominique Bonvin, Julien Léo Billeter, Sriniketh Srinivasan

Kinetic models contribute greatly to cost reduction during the process development phase and are also helpful for process monitoring and control purposes. Kinetic models describe the underlying reactions, mass transport and operating conditions of the reac ...

2013

Sizing Studies for Detecting Graphical Models

Stephan Morgenthaler, Maya Shevlyakova

The ability to identify reliably a positive or negative partial correlation between the expression levels of two genes is determined by the number p of genes, the number n of analyzed samples, and the statistical properties of the measurements. Classical s ...

EPFL STAP2012

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

Thresholding-based reconstruction of compressed correlated signals

Pascal Frossard, Alhussein Fawzi, Tamara Tosic

We consider the problem of recovering a set of correlated signals (\emph{e.g.,} images from different viewpoints) from a few linear measurements per signal. We assume that each sensor in a network acquires a compressed signal in the form of linear measurem ...

2012

Modeling dominance effects on nonverbal behaviors using granger causality

Daniel Gatica-Perez, Oya Aran, Dinesh Babu Jayagopi

In this paper we modeled the effects that dominant people might induce on the nonverbal behavior (speech energy and body motion) of the other meeting participants using Granger causality technique. Our initial hypothesis that more dominant people have gene ...

2012

Pair correlations, short-range order, and dispersive excitations in the quasi-kagome quantum magnet volborthite

Henrik Moodysson Rønnow, Goran Nilsen

We present spatial and dynamic information on the s = 1/2 distorted kagome antiferromagnet volborthite, Cu3V2O7(OD)(2) center dot 2D(2)O, obtained by polarized and inelastic neutron scattering. The instantaneous structure factor, S(Q), is dominated by near ...

2011

Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

Properties, advantages, and drawbacks of the block logit model

Michel Bierlaire, Jeffrey Newman

This paper proposes a block logit (BL) model, which is an alternative approach to incorporating covariance between the random utilities of alternatives into a GEV random utility maximization model. The BL is similar to the nested logit (NL), in that it is ...

2009

Fast Human Detection in Videos using Joint Appearance and Foreground Learning from Covariances of Image Feature Subsets

Jean-Marc Odobez

We present a fast method to detect humans from stationary surveillance videos. Traditional approaches exploit background subtraction as an attentive filter, by applying the still image detectors only on foreground regions. This doesn't take into account th ...

Idiap2009

Short and intermediate range order in amorphous GeSe2

Alfredo Pasquarello

By using first-principle molecular dynamics within density functional theory, we study the structural properties of amorphous GeSe2 at a temperature T of 300 K. For each property, a statistical average is obtained from six independent partial averages take ...

2008

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Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009