Automatic Classification
People:
Gabriel Wachman, Roni Khardon, Pavlos Protopapas.Huge amounts of data are now available from astronomy surveys where telescopes take measurements of the sky over a long period of time. This information is processed by experts as well as computers to provide high-level classifications and measurements of importance for astronomy. Our project aims to provide automatic methods for classifying astronomical measurements of stars using luminosity time-series measurements and other measurable properties of the stars. Such classification systems can save many expert-human-years and allow for faster paced scientific investigation. Our research develops and applies machine learning techniques for this project including combining multiple forms of data (including time-series measurements), work on kernels, and providing interpretable results in an end to end prediction system.
Publications:
- Variable Stars (Who Cares?) (TALK)
- Classification in Time Series (TALK)
Last Updated at: 2007-09-29 01:48 PM.