Automatic machine learning for target recognition-Reference-Cited by-同舟云学术

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Automatic machine learning for target recognition

Published:2019-05-14 Issue: Volume: Page:
ISSN:
Container-title:Automatic Target Recognition XXIX
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Author:

Blasch Erik,Majumder Uttam,Rovito Todd,Zulch Peter,Velten Vincent

Publisher

SPIE

Reference120 articles.

1. Autonomous Horizons: System ‘Autonomy’ in the Air Force – A Path to the Future: Volume I: Human Autonomy Teaming;Endsley;AF/ST TR15-01,2015

2. Defense Science Board, “Summer Study on Autonomy,” (2016)

3. Resolving events through Multi-Intelligence Fusion;Blasch;Journal of DoD Research and Engineering,2019

4. The ATR Center and ATRpedia;Arnold,2008

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2. Data fusion information group (DFIG) model meets AI+ML;Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI;2022-06-08

3. Measuring robustness and resilience against counters on autonomous platforms;Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2021;2021-04-12

4. Automatic Machine Learning Method for Hyper-parameter Search;Journal of Physics: Conference Series;2021-03-01

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