Section: Partnerships and Cooperations

National Initiatives

ANR Projects

DETECT

Participants : Sylvain Arlot, Francis Bach.

• Title: New statistical approaches to computer vision and bioinformatics

• Coordinator: École Normale Supérieure (Paris)

• Leader of the project: Sylvain Arlot

• Other members: J. Sivic (Willow project-team, ENS), A. Celisse (University Lille 1), T. Mary-Huard (AgroParisTech), E. Roquain and F. Villers (University Paris 6).

• Instrument: ANR “Young researchers” Program

• Duration: Sep 2009 - Aug 2012

• Total funding: 70000 Euros

• See also: http://www.di.ens.fr/~arlot/ANR-DETECT.htm

• Abstract: The Detect project aims at providing new statistical approaches for detection problems in computer vision (in particular, detecting and recognizing human actions in videos) and bioinformatics (e.g., simultaneously segmenting CGH profiles). These problems are mainly of two different statistical nature: multiple change-point detection (i.e., partitioning a sequence of observations into homogeneous contiguous segments) and multiple tests (i.e., controlling a priori the number of false positives among a large number of tests run simultaneously).