Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525;
- OSTI ID:
- 1905452
- Report Number(s):
- SAND2021-15957C; 702295
- Resource Type:
- Conference paper
- Conference Information:
- Proposed for presentation at the Machine Learning for Scientific Imaging 2022 held January 16-20, 2022 in San Francisco, CA.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Towards information limit in a low photon 3 dimensional x-ray imaging.
Behavior of the Maximum Likelihood in Quantum State Tomography.
Simulated X-ray Diffraction and Machine Learning for Interpretation of Dynamic Compression Experiments.
Conference
·
2021
·
OSTI ID:1881666
Behavior of the Maximum Likelihood in Quantum State Tomography.
Conference
·
2017
·
OSTI ID:1426603
Simulated X-ray Diffraction and Machine Learning for Interpretation of Dynamic Compression Experiments.
Conference
·
2022
·
OSTI ID:2003844