Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams

COMET

• Title: Computational methods for the analysis of high-dimensional data

• Inria principal investigator: Steve Y. Oudot

• International Partner (Institution - Laboratory - Researcher):

  • Stanford University (United States) - Computer Science - Leonidas Guibas

  • Ohio State University (United States) - Computer Science and Engineering - Yusu Wang

• Duration: 2011 - 2013

• See also: http://geometrica.saclay.inria.fr/collaborations/CoMeT/index.html

• CoMeT is an associate team between the Geometrica group at Inria, the Geometric Computing group at Stanford University, and the Computational Geometry group at the Ohio State University. Its focus is on the design of computational methods for the analysis of high-dimensional data, using tools from metric geometry and algebraic topology. Our goal is to extract enough structure from the data, so we can get a higher-level informative understanding of these data and of the spaces they originate from. The main challenge is to be able to go beyond mere dimensionality reduction and topology inference, without the need for a costly explicit reconstruction. To validate our approach, we intend to set our methods against real-life data sets coming from a variety of applications, including (but not restricted to) clustering, image or shape segmentation, sensor field monitoring, shape classification and matching. The three research groups involved in this project have been active contributors in the field of Computational Topology in the recent years, and some of their members have had long-standing collaborations. We believe this associate team can help create new synergies between these groups.