Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Chee-Yee Chong"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 58:5351-5360
The system considered in this paper operates with a feedback that is characterized by a gain and a desired final state (DFS), which is the main parameter of interest in the present study. The system is, however, subjected intermittently to stochastic
Autor:
Tarek Abdelzaher, Henry Leung, Erik Blasch, Chee-Yee Chong, Wolfgang Koch, Dave Braines, Tien Pham
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 36:80-93
During Fusion 2019 Conference (https://www.fusion2019.org/program.html), leading experts presented ideas on the historical, contemporary, and future coordination of artificial intelligence/machine learning (AI/ML) with sensor data fusion (SDF). While
Autor:
Chee-Yee Chong
Publikováno v:
2021 IEEE 24th International Conference on Information Fusion (FUSION).
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXX.
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
This paper provides a perspective on historical background, innovation and applications of Artificial Intelligence (AI) and Machine Learning (ML), data successes and systems challenges, national security interests, and mission opportunities for syste
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 36:6-7
The articles in this special section focus on some recent and ongoing developments of artificial intelligence in the context of data fusion.
Autor:
Paul Bendich, Chee Yee Chong, Lynne L. Grewe, Vladimir Pavlovic, Erik Blasch, Ivan Kadar, Edward L. Waltz
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX.
During the 2019 SPIE DSS conference, panelists were invited to highlight the trends and use of artificial intelligence and machine learning (AI/ML) for information fusion. The common themes between the panelists include leveraging AI/ML coordinated w
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX.
This paper is generally concerned with mathematical formalisms to support theory and algorithm developments of multiple hypothesis tracking (MHT), as a class of solutions to multiple target tracking (MTT) problems based on targetwise detections. In p
Autor:
Chee-Yee Chong, Shozo Mori
Publikováno v:
2019 22th International Conference on Information Fusion (FUSION).