Stephanie M. Sanchez was born in Mountain View, California and raised in Visalia, California. She is a second year masters student at the Institute for Computational and Mathematical Engineering (ICME) in the general track. Stephanie received her B.S. in Applied Mathematics with a Specialization in Computation from University of California, Los Angeles (UCLA). As an undergraduate at UCLA she gained research experience in imaging processing/computer vision through UCLA's Student Research program and UCLA's California Research Training Program in Computational and Applied Mathematics. In the summer of 2014 Stephanie also participated in time series analysis research for forecasting future crime rates for the Los Angeles Police Department (LAPD) through Research Industrial Projects for Students (RIPS) hosted by the Institute of Pure and Applied Mathematics (IPAM) at UCLA. Stephanie's enjoyments aside from academia, include playing World of Warcraft, guitar, and writing screenplays.
- Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2017; 55 (5): 2786-2798
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm
IEEE Transactions on Geoscience and Remote Sensing
2017; 55 (5)
View details for DOI 10.1109/TGRS.2017.2654486