Christopher Cichiwskyj, Chao Qian 0009, Gregor Schiele. Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform. In João Gama 0001, Sepideh Pashami, Albert Bifet, Moamar Sayed Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott, editors, IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Volume 1325 of Communications in Computer and Information Science, pages 256-267, Springer, 2020. [doi]
@inproceedings{Cichiwskyj0S20,
title = {Time to Learn: Temporal Accelerators as an Embedded Deep Neural Network Platform},
author = {Christopher Cichiwskyj and Chao Qian 0009 and Gregor Schiele},
year = {2020},
doi = {10.1007/978-3-030-66770-2_19},
url = {https://doi.org/10.1007/978-3-030-66770-2_19},
researchr = {https://researchr.org/publication/Cichiwskyj0S20},
cites = {0},
citedby = {0},
pages = {256-267},
booktitle = {IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers},
editor = {João Gama 0001 and Sepideh Pashami and Albert Bifet and Moamar Sayed Mouchawe and Holger Fröning and Franz Pernkopf and Gregor Schiele and Michaela Blott},
volume = {1325},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-030-66770-2},
}