Transfer learning for radio galaxy classification
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz1883
Abstract: In the context of radio galaxy classification, most state-of-the-art neural network algorithms have been focused on single survey data. The question of whether these trained algorithms have cross-survey identification ability or can be adapted to… read more here.
Keywords: radio; transfer learning; galaxy classification; radio galaxy ... See more keywords