Objective The goal is to test whether large-scale machine learning techniques can accurately estimate the specific star formation rate (sSFR) from colours of low-redshift galaxies.
A texture descriptor based on the shape index and the accompanying curvedness measure is proposed, and it is evaluated for the automated analysis of astronomical image data. A representative sample of images of low-redshift galaxies from the Sloan Digital Sky Survey (SDSS) serves as a testbed. The goal of applying texture descriptors to these data is to… (More)
The perceptron algorithm is an algorithm for supervised linear classification. Restricting ourselves to considering only binary classification, the most basic linear classifier is a hyperplane separating the two classes of our dataset. More formally, assume that we have a normal vector w ∈ R D defining a hyperplane. Binary classification is typically… (More)