3 papers
cs.CV2019
Local Context Normalization: Revisiting Local Normalization
Anthony Ortiz, Caleb Robinson, Dan Morris +4
Normalization layers have been shown to improve convergence in deep neural networks, and even add useful inductive biases. In many vision applications the local spatial context of…
astro-ph2003
Automated Determination of Stellar Population Parameters in Galaxies Using Active Instance-based Learning
Thamar Solorio, Olac Fuentes, Roberto Terlevich +2
In this work we focus on the determination of the relative distributions of young, intermediate-age and old populations of stars in galaxies. Starting from a grid of theoretical po…
astro-ph2003
Age determination of the nuclear stellar population of Active Galactic Nuclei using Locally Weighted Regression
Trilce Estrada-Piedra, Juan Pablo Torres-Papaqui, Roberto Terlevich +2
We present a new technique to segregate old and young stellar populations in galactic spectra using machine learning methods. We used an ensemble of classifiers, each classifier in…