Machine learning in/with information fusion for infrastructure understanding, panel summary
Publication
, Conference
Blasch, E; Grewe, LL; Waltz, EL; Bendich, P; Pavlovic, V; Kadar, I; Chong, CY
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 2020
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 with Information Fusion for: (1) knowledge reasoning, (2) model building, (3) object recognition and tracking, (4) multimodal learning, and (5) information processing. The opportunity for machine learning exists within all the fusion levels of the Data Fusion Information Group model.
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Published In
Proceedings of SPIE - The International Society for Optical Engineering
DOI
EISSN
1996-756X
ISSN
0277-786X
Publication Date
January 1, 2020
Volume
11423
Related Subject Headings
- 5102 Atomic, molecular and optical physics
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
Citation
APA
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MLA
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Blasch, E., Grewe, L. L., Waltz, E. L., Bendich, P., Pavlovic, V., Kadar, I., & Chong, C. Y. (2020). Machine learning in/with information fusion for infrastructure understanding, panel summary. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 11423). https://doi.org/10.1117/12.2559416
Blasch, E., L. L. Grewe, E. L. Waltz, P. Bendich, V. Pavlovic, I. Kadar, and C. Y. Chong. “Machine learning in/with information fusion for infrastructure understanding, panel summary.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 11423, 2020. https://doi.org/10.1117/12.2559416.
Blasch E, Grewe LL, Waltz EL, Bendich P, Pavlovic V, Kadar I, et al. Machine learning in/with information fusion for infrastructure understanding, panel summary. In: Proceedings of SPIE - The International Society for Optical Engineering. 2020.
Blasch, E., et al. “Machine learning in/with information fusion for infrastructure understanding, panel summary.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 11423, 2020. Scopus, doi:10.1117/12.2559416.
Blasch E, Grewe LL, Waltz EL, Bendich P, Pavlovic V, Kadar I, Chong CY. Machine learning in/with information fusion for infrastructure understanding, panel summary. Proceedings of SPIE - The International Society for Optical Engineering. 2020.
Published In
Proceedings of SPIE - The International Society for Optical Engineering
DOI
EISSN
1996-756X
ISSN
0277-786X
Publication Date
January 1, 2020
Volume
11423
Related Subject Headings
- 5102 Atomic, molecular and optical physics
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering