Sense and Learn: Self-supervision for omnipresent sensors

Sense and Learn: Self-supervision for omnipresent sensors

Learning general-purpose representations from multisensor data produced by the omnipresent sensing systems (or IoT in general) has numerous applications in diverse use cases. Existing purely supervised end-to-end deep learning techniques depend on the availability of a massive amount of well-curated...

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Bibliographic Details
Main Authors: Aaqib Saeed, Victor Ungureanu, Beat Gfeller
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Machine Learning with Applications
Subjects:
Self-supervised learning
Low-data regime
Sensors
Unsupervised learning
Neural networks
Time-series
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000761

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http://www.sciencedirect.com/science/article/pii/S2666827021000761

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