Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment
© 2020 IEEE. This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluation of algorithm results, which, after human review, are used for iterative machine learning model training...
Main Authors: | Michaleas, Adam, Gjesteby, Lars A., Snyder, Michael, Chavez, David, Ash, Meagan, Melton, Matthew A., Lamb, Damon G., Burke, Sara N., Otto, Kevin J., Kamentsky, Lee, Guan, Webster, Chung, Kwanghun, Brattain, Laura J. |
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Other Authors: | Lincoln Laboratory |
Format: | Article |
Language: | English |
Published: |
IEEE
2021
|
Online Access: | https://hdl.handle.net/1721.1/137292 |
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