SIGMA’2016 (Signal-Image-Géométrie-Modélisation-Approximation)
31 octobre au 4 novembre 2016

La rencontre SIGMA’2016 est proposée par le groupe thématique SIGMA de la SMAI. Ce groupe a pour objectif de développer des liens forts entre diverses communautés scientifiques, au-delà de frontières parfois artificielles, et de créer ainsi, au sein de la SMAI, une synergie autour des thèmes Signal-Image, Géométrie Algorithmique, Modélisation Géométrique, Approximation. Cette rencontre est donc conçue prioritairement pour aider à fédérer des actions de recherche autour des thématiques ci-dessus en permettant un partage efficace de connaissances/outils et l’interaction effective entre ces communautés. Le partage de connaissances se fera grâce à 20 exposés invités de synthèse d’une heure environ, par des spécialistes internationaux de premier plan dans les thématiques SIGMA. Elle comportera aussi de 30 à 40 communications orales (30mn) ou posters, dont une forte proportion par jeunes chercheurs ou thésards.
Comité scientifique

Albert Cohen (Université Pierre et Marie Curie)
Olivier Gibaru (ParisTech centre de Lille)
Quentin Merigot (Université Paris-Dauphine)
Christian Gout (INSA Rouen)
Valérie Perrier (Université de Grenoble Alpes)

Comité d’organisation

Bernhard Beckermann (Université Lille I)
Frédéric Chazal (INRIA Saclay)
Tom Lyche (University of Oslo)
Marie-Laurence Mazure (Université de Grenoble Alpes)
Gabriel Peyré (Université Paris-Dauphine)


Convergence of dimension elevation algorithms : only a typical CAGD issue?

Low Distortion Inter-surface Mapping via Optimal Mass Transport

Rational approximation of the algebraic functions and functional analogs of the Diophantine approximants

Hardy-Hodge decomposition of vector fields

Protected triangulations

(Another) convex representation of curvature-dependent energies in 2D

A proximal algorithm for third order tensor decomposition and application to fluorescence spectroscopy

Christoffel-Darboux-type formulae for orthonormal rational functions with arbitrary complex poles

Rational interpolation of analytic functions

Shortest path embeddings of graphs on surfaces

Shape modeling based on similarity analysis

Exponential weighted aggregation for group-analysis sparse regression: risk bounds and sampling algorithms

ADMM in Imaging Inverse Problems: Some History and Recent Advances

Perturbation and fast recompression of low-rank tensors

Products of random matrices: explicit formulas and asymptotics

Multilevel quadratic spline quasi-interpolation and application to numerical integration

Inverse potential problems for elliptic PDE, with physical applications

Using Generalized B-splines in Isogeometric Analysis

Reduction and reconstruction of complex spatio-temporal data

Transferring Information across Image and Model Collections

The Shannon Total Variation

Statistical methods for high-dimensional function approximation in tree-based tensor formats

A unified approach to Nevanlinna-Pick interpolation problems

A theoretical framework for the analysis of Mapper

The flash-lag effect as a motion-based predictive shift

Estimates in Best Polynomial Approximation on the Unit Ball

A Geometric Smooth Approach to Image Labeling

Clustering Dynamic Data Streams

Multi-degree smooth polar splines: a framework for design and analysis

Variational Models for Restoring Manifold-Valued Images

Using machine learning techniques in geometric modeling

X-rank and identifiability for a polynomial decomposition model

CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration

Kernel-Based Approximation Methods and their Applications

Modified Logarithmic Potential Theory and Applications

Session posters

Denoising synthetic aperture radar images: Application to interferogram

Low-rank SDP’s for Sparse Spikes Deconvolution

Scaling Algorithms for Unbalanced Optimal Transport

Support Recovery for Sparse Deconvolution of Positive Measures

A new nonconvex variational approach for sensory neurons receptive eld estimation

Image restoration and segmentation using the Ambrosio-Tortorelli functional and discrete calculus

Accurate quasi-automatic 3D reconstruction of human body shape from biplanar X-rays using a statistical shape model

Stochastic Optimization for Large Scale Optimal Transport

  • Radja Kheddam (USTHB)

Bayesian Network Models for Satellite Image Classification

  • Assia Kourgli (USTHB)

On the retrieval of high-resolution images

Seismic image segmentation for objects retrieval

Hyperspectral and multispectral image fusion based on optimal transport

Restoration of compressed images

Convex super-resolution detection of lines in images

Spectral Shape Analysis of the Human Brain Surface

Cut-Pursuit for Convex Inverse Problems with Piecewise Constant Regularization

On the coupling of decimation operator with subdivision schemes for multiscale analysis