19 citations · 25 across the 5 of their papers we have counts for
7 papers
Boundary Aware U-Net for Glacier Segmentation
Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati +1
Large-scale study of glaciers improves our understanding of global glacier change and is imperative for monitoring the ecological environment, preventing disasters, and studying th…
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…
Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System
Gelu Nita, Rafal Angryk, Berkay Aydin +44
The authors of this report met on 28-30 March 2018 at the New Jersey Institute of Technology, Newark, New Jersey, for a 3-day workshop that brought together a group of data provide…
3D Terrain Segmentation in the SWIR Spectrum
Dalton Rosario, Anthony Ortiz, Olac Fuentes
We focus on the automatic 3D terrain segmentation problem using hyperspectral shortwave IR (HS-SWIR) imagery and 3D Digital Elevation Models (DEM). The datasets were independently…
An Active Instance-based Machine Learning method for Stellar Population Studies
Thamar Solorio, Olac Fuentes, Roberto Terlevich +1
We have developed a method for fast and accurate stellar population parameters determination in order to apply it to high resolution galaxy spectra. The method is based on an optim…
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…