An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices

@inproceedings{Lane2015AnER,
  title={An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices},
  author={Nicholas D. Lane and Sourav Bhattacharya and Petko Georgiev and Claudio Forlivesi and Fahim Kawsar},
  booktitle={IoT-App@SenSys},
  year={2015}
}
Detecting and reacting to user behavior and ambient context are core elements of many emerging mobile sensing and Internet-of-Things (IoT) applications. However, extracting accurate inferences from raw sensor data is challenging within the noisy and complex environments where these systems are deployed. Deep Learning -- is one of the most promising approaches for overcoming this challenge, and achieving more robust and reliable inference. Techniques developed within this rapidly evolving area… CONTINUE READING
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