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Thomas J. Howard III
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Journal Articles
- 2022
- [j1]Jared Rondeau, Douglas Deslauriers, Thomas J. Howard III, Marco Álvarez:
A deep learning framework for finding illicit images/videos of children. Mach. Vis. Appl. 33(5): 66 (2022)
Conference and Workshop Papers
- 2021
- [c1]Najib Ishaq, Thomas J. Howard III, Noah M. Daniels:
Clustered Hierarchical Anomaly and Outlier Detection Algorithms. IEEE BigData 2021: 5163-5174
Informal and Other Publications
- 2024
- [i3]Morgan E. Prior, Thomas J. Howard III, Emily Light, Najib Ishaq, Noah M. Daniels:
Generalized compression and compressive search of large datasets. CoRR abs/2409.12161 (2024) - 2023
- [i2]Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Najib Ishaq, Noah M. Daniels:
CLAM-Accelerated K-Nearest Neighbors Entropy-Scaling Search of Large High-Dimensional Datasets via an Actualization of the Manifold Hypothesis. CoRR abs/2309.05491 (2023) - 2021
- [i1]Najib Ishaq, Thomas J. Howard III, Noah M. Daniels:
Clustered Hierarchical Anomaly and Outlier Detection Algorithms. CoRR abs/2103.11774 (2021)
Coauthor Index
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last updated on 2024-10-18 19:29 CEST by the dblp team
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