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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

ISBN

9781510636231

Publication Date

January 1, 2020

Volume

11423
 

Citation

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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

ISBN

9781510636231

Publication Date

January 1, 2020

Volume

11423