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.
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).
Tweeting about this workshop is welcome using #ctd2018 .
Proceedings (on a voluntary basis) will be peer reviewed and published online.