Finding Frequent Entities in Continuous Data
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. In many applications that involve processing high-dimensional data, it is important to identify a small set of entities that account for a significant fraction of detections. Rather than formalize this as a cluste...
Main Authors: | Alet, Ferran (Author), Chitnis, Rohan (Author), Kaelbling, Leslie P. (Author), Lozano-Perez, Tomas (Author) |
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Format: | Article |
Language: | English |
Published: |
International Joint Conferences on Artificial Intelligence Organization,
2021-11-08T15:31:24Z.
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Subjects: | |
Online Access: | Get fulltext |
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