Variable Star Classification Using Multi-View Metric Learning

13 Nov 2019K. B. JohnstonS. M. Caballero-NievesV. PetitA. M. PeterR. Haber

Our multi-view metric learning framework enables robust characterization of star categories by directly learning to discriminate in a multi-faceted feature space, thus, eliminating the need to combine feature representations prior to fitting the machine learning model. We also demonstrate how to extend standard multi-view learning, which employs multiple vectorized views, to the matrix-variate case which allows very novel variable star signature representations... (read more)

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