Learning Compact Representation with Less Labeled Data from Sensors

Learning Compact Representation with Less Labeled Data from Sensors

tinyML via YouTube Direct link

What makes good representation from sensor data?

6 of 13

6 of 13

What makes good representation from sensor data?

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Learning Compact Representation with Less Labeled Data from Sensors

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  1. 1 Intro
  2. 2 Human activity and/or behaviour recognition
  3. 3 Representation learning requires LOTS of labelled d
  4. 4 Typical pipeline for behaviour recognition
  5. 5 Challenges with Sensor Data
  6. 6 What makes good representation from sensor data?
  7. 7 Various types of changes
  8. 8 The Main Idea of Contrastive Learning
  9. 9 Change Point Detection
  10. 10 Evaluation Datasets
  11. 11 Detecting COVID-19 cough sounds with
  12. 12 Scalogram Contrastive Network
  13. 13 Experiment Results

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