An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. (arXiv:1903.03254v1 [astro-ph.IM])
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. (arXiv:1903.03254v1 [astro-ph.IM]) <a href="http://arxiv.org/find/astro-ph/1/au:+Pieringer_C/0/1/0/all/0/1">Christian Pieringer</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Pichara_K/0/1/0/all/0/1">Karim Pichara</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Catelan_M/0/1/0/all/0/1">Márcio Catelán</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Protopapas_P/0/1/0/all/0/1">Pavlos Protopapas</a> Within the last years, the classification of variable stars with Machine Learning has become a mainstream area of research. Recently, visualization of time series is attracting more attention in data science as a tool to visually help scientists to recognize significant patterns in complex dynamics. Within the Machine Learning literature, dictionary-based methods have been widely used to encode relevant parts of image data. These methods intrinsically assign a degree of importance to patches in pictures, according to their contributionRead More →