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20032008
most citedA robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images. I Method description

133 citations · 187 across the 4 of their papers we have counts for

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astro-ph2007★ 133 cited

A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images. I Method description

M. Huertas-Company, D. Rouan, L. Tasca +2

We present a new non-parametric method to quantify morphologies of galaxies based on a particular family of learning machines called support vector machines. The method, that can b…

astro-ph2007★ 5 cited

Generation of potential/surface density pairs in flat disks Power law distributions

J. -M. Hure, D. Pelat, A. Pierens

We report a simple method to generate potential/surface density pairs in flat axially symmetric finite size disks. Potential/surface density pairs consist of a ``homogeneous'' pair…