Automated classification of periodic variable stars{Improved methodology   for the automated classification of periodic variable stars}
  We present a novel automated methodology to detect and classify periodic variable stars in a large database of photometric time series. The methods are based on multivariate Bayesian statistics and use a multi-stage approach. We applied our method to the ground-based data of the TrES Lyr1 field, which is also observed by the Kepler satellite, covering ~26000 stars. We found many eclipsing binaries as well as classical non-radial pulsators, such as slowly pulsating B stars, Gamma Doradus, Beta Cephei and Delta Scuti stars. Also a few classical radial pulsators were found. 
J. Blomme, L.M. Sarro, F.T. O'Donovan, J. Debosscher, T. Brown, M.   Lopez, P. Dubath, L. Rimoldini, D. Charbonneau, E. Dunh...
astro-ph.IM