[visionlist] CFP: Topology and Statistical Learning session at GSI 2017

Maks Ovsjanikov maks at lix.polytechnique.fr
Tue Mar 21 16:47:08 -05 2017

Topology and Statistical Learning session at GSI 2017 - 
Geometric Science of Information

November 7th to 9th, Paris, France


Topology and Statistical Learning session
The goal of our session is to unite researchers and practitioners interested in
applying topological methods to discover and exploit structure in data. This
workshop will take place as part of the GSI 2017 - Geometric Science of
Information, whose program will cover a large spectrum of approaches in modern
data analysis and processing. We invite contributions from researchers working
in different scientific areas, including (but not restricted to) Applied
Topology, Statistics, Machine Learning, Computer Vision, Scientific
Visualization, and Data Science, who are interested in topological methods for
data analysis. We hope that this will provide a cross-fertilization that will
stimulate theoretical and practical work in this research domain.

Call for Papers
Authors are invited to submit unpublished research and application
papers addressing all areas of Topological Data Analysis. We
especially invite submissions that provide short surveys of recent
state-of-the-art techniques or give examples of interesting new
applications of TDA and Statistical Learning.

Submissions are invited in the form of full papers (up to 8 pages).
All accepted papers will be published in Springer's Lecture Notes in
Computer Science (LNCS) series as part of the GSI '17 proceedings.

Suggested topics include, but are not limited to:

- Topological data analysis (TDA)
- Persistence theory: algebra, topology, algorithms
- Homology inference and manifold learning
- Topological descriptors for data
- Statistics on topological descriptors
- Feature engineering using topological descriptors
- Data-driven techniques for TDA
- Multi-scale representations
- Applications of topology in computer vision, medicine, biology, sound 
  and music processing, geometry processing, biometrics, text processing, 
  and cultural heritage.

Deadlines & Submission
- Extended Abstract Submission (up to 8 pages): April 3rd 2017
- Notification of acceptance: June 12th 2017
- Final paper submission: July 31st 2017

- Author instructions: https://www.see.asso.fr/wiki/11949_author-instructions
- Submission link: https://easychair.org/conferences/?conf=gsi2017

GSI Co-Chairs:

- Frank Nielsen, LIX, Ecole Polytechnique, France.
- Frédéric Barbaresco, Thales Air Systems, France.
- Silvère Bonnabel, Mines ParisTech, France.

Session Co-Chairs:

- Steve Oudot, Inria DataShape Saclay, France.
- Maks Ovsjanikov, LIX, Ecole polytechnique, France.

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