Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core

Tomoya Itsubo; Mineto Tsukada; Hiroki Matsutani

doi:10.1109/CoolChips.2019.8721337

Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core

Tomoya Itsubo, Mineto Tsukada, Hiroki Matsutani

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Toward on-device learning on IoT devices, this paper implements an online sequential learning and unsupervised anomaly detection core and explores its design options, such as pipeline structure. They are evaluated in terms of performance and cost.

Original language	English
Title of host publication	IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728117485
DOIs	https://doi.org/10.1109/CoolChips.2019.8721337
Publication status	Published - 2019 May 23
Event	22nd IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Yokohama, Japan Duration: 2019 Apr 17 → 2019 Apr 19

Publication series

Name	IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings

Conference

Conference	22nd IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019
Country	Japan
City	Yokohama
Period	19/4/17 → 19/4/19

Fingerprint

Keywords

Machine learning and Pipeline structure)
On-device learning

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering

Cite this

Itsubo, T., Tsukada, M., & Matsutani, H. (2019). Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core. In IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings [8721337] (IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoolChips.2019.8721337

Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core. / Itsubo, Tomoya; Tsukada, Mineto; Matsutani, Hiroki.

IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8721337 (IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Itsubo, T, Tsukada, M & Matsutani, H 2019, Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core. in IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings., 8721337, IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 22nd IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019, Yokohama, Japan, 19/4/17. https://doi.org/10.1109/CoolChips.2019.8721337

Itsubo T, Tsukada M, Matsutani H. Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core. In IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8721337. (IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings). https://doi.org/10.1109/CoolChips.2019.8721337

Itsubo, Tomoya ; Tsukada, Mineto ; Matsutani, Hiroki. / Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core. IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE Symposium on Low-Power and High-Speed Chips and Systems, COOL CHIPS 2019 - Proceedings).

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Access to Document

10.1109/CoolChips.2019.8721337