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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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