The objective of this SEE Conference hosted by MINES ParisTech is to bring together pure/applied mathematicians and engineers, with common interest for Geometric tools and their applications for Information analysis.

 It emphasises an active participation of young researchers for deliberating emerging areas of collaborative research on “Information Geometry Manifolds and Their Advanced Applications”.

Current and ongoing uses of Information Geometry Manifolds in applied mathematics are the following: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech/sound recognition, natural language treatment, etc., which are also substantially relevant for the industry.

The Conference will be therefore being held in areas of priority/focused themes and topics of mutual interest with a mandate to:

  • Provide an overview on the most recent state-of-the-art
  • Exchange of mathematical information/knowledge/expertise in the area
  • Identification of research areas/applications for future collaboration
  • Identification of academic & industry labs expertise for further collaboration

This conference will be an interdisciplinary event and will federate skills from Geometry, Probability and Information Theory to address the following topics among others. The conference proceedings, are published in Springer's Lecture Notes in Computer Science (LNCS) series.

- Computational Information Geometry
- Hessian/Symplectic Information Geometry
- Optimization on Matrix Manifolds
- Probability on Manifolds
- Optimal Transport Geometry
- Divergence Geometry & Ancillarity
- Machine/Manifold/Topology Learning
- Tensor-Valued Mathematical Morphology
- Differential Geometry in Signal Processing
- Geometry of Audio Processing
- Geometry for Inverse Problems
- Shape Spaces: Geometry and Statistic
- Geometry of Shape Variability
- Relational Metric
- Discrete Metric Spaces

A propos

The objective of this SEE Conference hosted by MINES ParisTech is to bring together pure/applied mathematicians and engineers, with common interest for Geometric tools and their applications for Information analysis.

 It emphasises an active participation of young researchers for deliberating emerging areas of collaborative research on “Information Geometry Manifolds and Their Advanced Applications”.

Current and ongoing uses of Information Geometry Manifolds in applied mathematics are the following: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech/sound recognition, natural language treatment, etc., which are also substantially relevant for the industry.

The Conference will be therefore being held in areas of priority/focused themes and topics of mutual interest with a mandate to:

  • Provide an overview on the most recent state-of-the-art
  • Exchange of mathematical information/knowledge/expertise in the area
  • Identification of research areas/applications for future collaboration
  • Identification of academic & industry labs expertise for further collaboration

This conference will be an interdisciplinary event and will federate skills from Geometry, Probability and Information Theory to address the following topics among others. The conference proceedings, are published in Springer's Lecture Notes in Computer Science (LNCS) series.

- Computational Information Geometry
- Hessian/Symplectic Information Geometry
- Optimization on Matrix Manifolds
- Probability on Manifolds
- Optimal Transport Geometry
- Divergence Geometry & Ancillarity
- Machine/Manifold/Topology Learning
- Tensor-Valued Mathematical Morphology
- Differential Geometry in Signal Processing
- Geometry of Audio Processing
- Geometry for Inverse Problems
- Shape Spaces: Geometry and Statistic
- Geometry of Shape Variability
- Relational Metric
- Discrete Metric Spaces

Comités

Comité d'organisation

Program chairs

Scientific committee

Sponsors et organisateurs

Documents

XLS

Synthèse (Frédéric Barbaresco)

SEE/SMF GSI’13 : 1 ère conférence internationale sur les Sciences  Géométriques de l’Information à l’Ecole des Mines de Paris Frédéric Barbaresco

POSTER SESSION (Frédéric Barbaresco)

Fast polynomial spline approximation for large scattered data sets via L1 minimization Laurent Gajny, Éric Nyiri, Olivier Gibaru
High-Dimensional Range profile geometrical visualization and performance estimation of classification of radar targets via a Gaussian mixture model Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte
Target detection in non-stationary clutter background and Riemannian geometry Haiyan Fan
Visual Point Set Processing with Lattice Structures: Application to parsimonious representations of digital histopathology images Nicolas Loménie

ORAL SESSION 1 Geometric Statistics on manifolds and Lie groups (Xavier Pennec)

A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach Sheng YI
Bi-invariant means on Lie groups with Cartan-Schouten connections Xavier Pennec
Horizontal Dimensionality Reduction and Iterated Frame Bundle Development Stefan Sommer
Parallel Transport with Pole Ladder: Application to Deformations of time Series of Images Marco Lorenzi, Xavier Pennec
Parallel Transport with the Pole Ladder: Application to Deformations of time Series of Images Marco Lorenzi, Xavier Pennec

ORAL SESSION 2 Deformations in Shape Spaces (Alain Trouvé)

Geodesic image regression with a sparse parameterization of diffeomorphisms James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman
On geometry and deformation of shapes represented by piecewise continuous Bézier curves with application to shape optimization Olivier Ruatta
Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics Christof Seiler, Xavier Pennec, Susan Holmes
Template Estimation for Large Database : a DiffeomorphicIterative Centroid Method Using Currents Claire Cury

Keynote speech 3 (Giovanni Pistone)

Dimensionality reduction for classification of stochastic fibre radiographs Christopher TJ Dodson, William W. Sampson

Auteurs

Frédéric Barbaresco

SEE/SMF GSI’13 : 1 ère conférence internationale sur les Sciences  Géométriques de l’Information à l’Ecole des Mines de Paris Frédéric Barbaresco

Shun-Ichi Amari

Information Geometry and Its Applications: Survey Shun-Ichi Amari

Yann Ollivier

Objective Improvement in Information-Geometric Optimization Yann Ollivier

Christopher TJ Dodson, William W. Sampson

Dimensionality reduction for classification of stochastic fibre radiographs Christopher TJ Dodson, William W. Sampson

Giovanni Pistone

Sheng YI

A Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach Sheng YI

Xavier Pennec

Bi-invariant means on Lie groups with Cartan-Schouten connections Xavier Pennec

Stefan Sommer

Horizontal Dimensionality Reduction and Iterated Frame Bundle Development Stefan Sommer

Marco Lorenzi, Xavier Pennec

Parallel Transport with Pole Ladder: Application to Deformations of time Series of Images Marco Lorenzi, Xavier Pennec
Parallel Transport with the Pole Ladder: Application to Deformations of time Series of Images Marco Lorenzi, Xavier Pennec

James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman

Geodesic image regression with a sparse parameterization of diffeomorphisms James Fishbaugh, Marcel Prastawa, Guido Gerig, Stanley Durrleman

Olivier Ruatta

On geometry and deformation of shapes represented by piecewise continuous Bézier curves with application to shape optimization Olivier Ruatta

Christof Seiler, Xavier Pennec, Susan Holmes

Random Spatial Structure of Geometric Deformations and Bayesian Nonparametrics Christof Seiler, Xavier Pennec, Susan Holmes

Claire Cury

Template Estimation for Large Database : a DiffeomorphicIterative Centroid Method Using Currents Claire Cury

Michel Berthier

A Riemannian Fourier Transform via Spin Representations Michel Berthier

Aurélien Schutz, Lionel Bombrun, Yannick Berthoumieu

K-Centroids-Based Supervised Classification of Texture Images using the SIRV modeling Aurélien Schutz, Lionel Bombrun, Yannick Berthoumieu

Julien Ah-Pine

A general framework for comparing heterogeneous binary relations Julien Ah-Pine

Patricia Conde Céspedes

Comparison of linear modularization criteria of networks using relational metric Patricia Conde Céspedes

Klavdija Kutnar

On Prime-valent Symmetric Bicirculants and Cayley Snarks Klavdija Kutnar

Bibliographie

Image de Geometric Science of Information: First International Conference, GSI 2013, Paris, France, August 28-30, 2013, Proceedings
Auteur:
Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K (2013)
Reliure: Broché, 879 pages
lncs_8085_cover.pdf

First International Conference, GSI 2013, Paris, France, August 28-30, 2013, Proceedings
Series: Lecture Notes in Computer Science, Vol. 8085
Subseries: Image Processing, Computer Vision, Pattern Recognition, and Graphics

Nouvelles

The deadline for submitting papers for the GSI 2013 conference has been extended to the

3rd of March 2013

 Call for Paper - Author instructions - Proceed with your submission

 

GSI’13 - GEOMETRIC SCIENCE OF INFORMATION

Ecole des Mines, Paris

28th – 30th August 2013

 

   With support of SMF (Société Mathématique de France), the objective of SEE Conference GSI’13 “GEOMETRIC SCIENCE OF INFORMATION” (www.gsi2013.org) hosted by MINES ParisTech, is to bring together pure/applied mathematicians and engineers, with common interest for Geometric tools and their applications for Information analysis, with active participation of young researchers for deliberating emerging areas of collaborative research on “Information Geometry Manifolds and Their Advanced Applications”.

   Current and ongoing uses of Information Geometry Manifolds in applied mathematics are the following: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Information Ranking and Retrieval, Coding, Cognitive Systems, Optimal Control, Statistics on Manifolds, Machine Learning, Speech/sound recognition, natural language treatment, etc., which are also substantially relevant for the industry.

The Workshop will be therefore being held in areas of priority/focused themes and topics of mutual interest with a mandate for:

  • Provide an overview on the most recent state-of-the-art
  • Exchange of mathematical information/knowledge/expertise in the area
  • Identification of research areas/applications for future collaboration
  • Identification of academic & industry labs expertise for further collaboration

This conference will be an interdisciplinary event and will federate skills from Geometry, Probability and Information Theory to address the following topics among others:

  • Computational Information Geometry
  • Hessian/Symplectic Information Geometry
  • Optimization on Matrix Manifolds
  • Probability on Manifolds
  • Optimal Transport Geometry
  • Divergence Geometry & Ancillarity
  • Machine/Manifold/Topology Learning
  • Tensor-Valued Mathematical Morphology
  • Differential Geometry in Signal Processing
  • Geometry of Audio Processing
  • Geometric Inverse Problems
  • Shape Spaces: Geometry and Statistic
  • Geometry of Shape Variability
  • Relational Metric
  • Discrete Metric Spaces

Other sessions, including Poster sessions will be organized after selection of all submitted papers.                                             

Invited talks will be scheduled with 3 Keynote speakers that will be invited for plenary sessions:

·         Yann OLLIVIER (Paris-Sud Univ.): “Information-geometric optimization: The interest of information theory for discrete and continuous optimization”

·         Hirohiko SHIMA (Yamaguchi Univ.): “Geometry of Hessian Structures” dedicated to Prof. J.L. KOSZUL

·         Giovanni PISTONE (Collegio Carlo Alberto): “Nonparametric Information Geometry”

This workshop will produce two main scientific outcomes:

  • Proceedings published in Lecture Notes by Springer for the conference
  • Special Issue with accepted long papers published by Springer after the international conference.

Important Dates:

  • Deadline for 8 pages / 1 column submission:                                               18th of February 2013
  • Notification of acceptance:                                                                          15th of April 2013
  • Final paper submission:                                                                                30th of May 2013

Best regards

 

On behalf of the PC of GSI'13

http://www.gsi2013.org/

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Mines ParisTech, Paris (France)

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Charles Coquebert, Journal des mines n°1, Vendémiaire An III (septembre 1794)
 
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