Accelerating Active Learning for Image Classification Through FPGA-Based Implementation
- DOI
- 10.3390/s26123743
- Published
- 2026-06-12
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26123743,
title = {Accelerating Active Learning for Image Classification Through FPGA-Based Implementation},
author = {Angelo Barbieri and Christopher A. Flores and Wladimir Valenzuela and Francisco Saavedra},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26123743},
url = {https://doi.org/10.3390/s26123743}
}RIS
TY - JOUR TI - Accelerating Active Learning for Image Classification Through FPGA-Based Implementation AU - Angelo Barbieri AU - Christopher A. Flores AU - Wladimir Valenzuela AU - Francisco Saavedra PY - 2026 JO - Sensors DO - 10.3390/s26123743 UR - https://doi.org/10.3390/s26123743 ER -
APA
Barbieri, A., Flores, C. A., Valenzuela, W., & Saavedra, F. (2026). Accelerating Active Learning for Image Classification Through FPGA-Based Implementation. Sensors. https://doi.org/10.3390/s26123743
Source records
- crossref · retrieved 2026-09-25T08:21:52.387Z