67 citations · 109 across the 15 of their papers we have counts for
4 papers · 1 filter
deFOREST: Fusing Optical and Radar satellite data for Enhanced Sensing of Tree-loss
Julio Enrique Castrillon-Candas, Hanfeng Gu, Caleb Meredith +4
In this paper we develop a deforestation detection pipeline that incorporates optical and Synthetic Aperture Radar (SAR) data. A crucial component of the pipeline is the constructi…
Distribution-Free Stochastic Analysis and Robust Multilevel Vector Field Anomaly Detection
Julio E Castrillon-Candas, Michael Rosenbaum, Mark Kon
Massive vector field datasets are common in multi-spectral optical and radar sensors, among many other emerging areas of application. We develop a novel stochastic functional (data…
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
Wenrui Li, Xiaoyu Wang, Yuetian Sun +3
It has long been a recognized problem that many datasets contain significant levels of missing numerical data. A potentially critical predicate for application of machine learning…
Stochastic tensor space feature theory with applications to robust machine learning
Julio Enrique Castrillon-Candas, Kaili Shi, Dingning Liu +5
In this paper we develop a Multilevel Orthogonal Subspace (MOS) Karhunen--Loève feature theory based on stochastic tensor spaces, for the construction of robust machine learning fe…