This is a workshop on track reconstruction and other problems in pattern recognition in sparsely sampled data. The workshop is intended to be inclusive across other disciplines wherever similar problems arise. The main focus will be on pattern recognition and machine learning problems that arise e.g. in the reconstruction of particle tracks or jets in high energy physics experiments.
This 2018 edition is the 4th of the Connecting The Dot series (see CTD2015 Berkeley, CTD2016 Vienna, WIT/CTD2017 LAL-Orsay).
The workshop is plenary sessions only, with a mix of invited talks and accepted contributions. There will also be a Poster session.
Wifi is available on site, eduroam credentials, from your institution or CERN, are recommended (but not mandatory).
Follow us on twitter @ctdwit , the official hashtag is #ctd2018 .
Proceedings will be peer reviewed by CTD committee and published in EPJWeb. The article needs to be prepared by using the template here and submitted via Indico interface by June 30. Each author also needs to fill the publication right form. The guidelines for number of pages is 10+/-2 for regular talk, 7+/-2 for Young Scientist Forum talk and 6+/-2 for Poster presentation.
