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Paper: Variable Star Classification using Multi-View Metric Learning
Volume: 523, Astronomical Data Analysis Software and Systems XXVIII
Page: 83
Authors: Johnston, K.; Caballero-Nieves, S.; Peter, A.; Petit, V.; Haber, R.
Abstract: Comprehensive observations of variable stars can include time domain photometry in a multitude of filters, spectroscopy, estimates of color (e.g. U-B), etc. When it is considered that the time domain data can be further transformed via digital signal processing methodologies, the potential representations of the observed target star are limitless. Presented here is an initial review of multi-view classification as applied to variable star classification, to address this challenge.
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