Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Low-shot, Semi-supervised, Uncertainty Quantification Enabled Model for High Consequence HSI Data.

Conference ·
Abstract not provided.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
OGA
DOE Contract Number:
NA0003525
OSTI ID:
1906438
Report Number(s):
SAND2021-16123C; 702354
Country of Publication:
United States
Language:
English

Similar Records

An Uncertainty Quantification Enabled Semi-Supervised Paired Neural Network for Few-Shot Classification.
Conference · Fri Apr 01 00:00:00 EDT 2022 · OSTI ID:2002268

Low-shot, Semi-supervised, Uncertainty Quantified Learningwith Hyperspectral Imagery Data.
Conference · Mon Feb 28 23:00:00 EST 2022 · OSTI ID:2001990

Exploring HSI for High Consequence Facility Security.
Conference · Tue Nov 01 00:00:00 EDT 2022 · OSTI ID:2006392

Related Subjects