Publications associées à Algorithme espérance-maximisation

Investigation of the Intrinsic Permeability of MX-80 Bentonite through a 4-Scale Analysis of Its Fabric

MX-80 granular bentonite is expected to be used as a buffer material for high level nuclear waste storage in Switzerland. This material is composed of 85% of smectite clay and exhibits a particular structure with four different scales. MX-80 macroscopic pr ...

American Society of Civil Engineers2017

Spontaneous symmetry breaking in a quadratically driven nonlinear photonic lattice

Vincenzo Savona

We investigate the occurrence of a phase transition, characterized by the spontaneous breaking of a discrete symmetry, in a driven-dissipative Bose-Hubbard lattice in the presence of two-photon coherent driving. The driving term does not lift the original ...

Amer Physical Soc2017

Scampi: a robust approximate message-passing framework for compressive imaging

Florent Gérard Krzakala, Jean François Emmanuel Barbier

Reconstruction of images from noisy linear measurements is a core problem in image processing, for which convex optimization methods based on total variation (TV) minimization have been the long-standing state-of-the-art. We present an alternative probabil ...

Iop Publishing Ltd2016

Fast K-Means with Accurate Bounds

François Fleuret, James Peter Newling

We propose a novel accelerated exact

k

-means algorithm, which outperforms the current state-of-the-art low-dimensional algorithm in 18 of 22 experiments, running up to 3

\times

faster. We also propose a general improvement of existing state-of-the-art a ...

Idiap2016

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We build upon recent advances in graph signal processing to propose a faster spectral clustering algorithm. Indeed, classical spectral clustering is based on the computation of the first

k

eigenvectors of the similarity matrix' Laplacian, whose computati ...

Ieee2016

Semi-Markov model for simulating MOOC students

Pierre Dillenbourg, Lukasz Kidzinski, Louis Pierre Faucon

Large-scale experiments are often expensive and time consuming. Although Massive Online Open Courses (MOOCs) provide a solid and consistent framework for learning analytics, MOOC practitioners are still reluctant to risk resources in experiments. In this s ...

2016

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Ali H. Sayed, Roula Nassif

In this work, we consider multitask learning problems where clusters of nodes are interested in estimating their own parameter vector. Cooperation among clusters is beneficial when the optimal models of adjacent clusters have a good number of similar entri ...

IEEE2016

N-Ink Printer Characterization With Barycentric Subdivision

Roger Hersch, Vahid Babaei

Printing with a large number of inks, also called N-ink printing, is a challenging task. The challenges comprise spectral modeling of the printer, color separation, halftoning, and limitations of the amount of inks. Juxtaposed halftoning, a perfectly dot-o ...

Ieee-Inst Electrical Electronics Engineers Inc2016

N-Ink Printer Characterization with Barycentric Subdivision

Printing with a large number of inks, also called N-ink printing, is a challenging task. The challenges comprise spectral modelling of the printer, color separation, halftoning, and limitations of the amount of inks. Juxtaposed halftoning, a perfectly dot- ...

Institute of Electrical and Electronics Engineers2016

Plug-and-play control of AC islanded microgrids with general topology

Giancarlo Ferrari Trecate

n this paper, we provide an extension of the scalable algorithm proposed in (Riverso et al., 2015) for the design of Plug-and-Play (PnP) controllers for AC Islanded microGrids (ImGs). The method in (Riverso et al., 2015) assumes DGUs are arranged in a load ...

2016

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Investigation of the Intrinsic Permeability of MX-80 Bentonite through a 4-Scale Analysis of Its Fabric

Spontaneous symmetry breaking in a quadratically driven nonlinear photonic lattice

Scampi: a robust approximate message-passing framework for compressive imaging

Fast K-Means with Accurate Bounds

Accelerated Spectral Clustering Using Graph Filtering of Random Signals

Semi-Markov model for simulating MOOC students

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

N-Ink Printer Characterization With Barycentric Subdivision

N-Ink Printer Characterization with Barycentric Subdivision

Plug-and-play control of AC islanded microgrids with general topology

N-Ink Printer Characterization With Barycentric Subdivision

N-Ink Printer Characterization with Barycentric Subdivision

Fast K-Means with Accurate Bounds

Plug-and-play control of AC islanded microgrids with general topology

Spontaneous symmetry breaking in a quadratically driven nonlinear photonic lattice

Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization

Investigation of the Intrinsic Permeability of MX-80 Bentonite through a 4-Scale Analysis of Its Fabric

Scampi: a robust approximate message-passing framework for compressive imaging

Semi-Markov model for simulating MOOC students

Accelerated Spectral Clustering Using Graph Filtering of Random Signals