default search action
SenSys-ML 2019: New York, NY, USA
- Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, SenSys-ML 2019, New York, NY, USA, November 10, 2019. ACM 2019, ISBN 978-1-4503-7011-0
- Ranya Aloufi, Hamed Haddadi, David Boyle:
Emotion Filtering at the Edge. 1-6 - Giuseppe Bernieri, Mauro Conti, Federico Turrin:
KingFisher: an Industrial Security Framework based on Variational Autoencoders. 7-12 - Yinan Ma, Jing Wu, Chengnian Long:
GazeFCW: Filter Collision Warning Triggers by Detecting Driver's Gaze Area. 13-18 - Rishikanth Chandrasekaran, Yunhui Guo, Anthony Thomas, Massimiliano Menarini, Michael H. Ostertag, Yeseong Kim, Tajana Rosing:
Efficient Sparse Processing in Smart Home Applications. 19-24 - Swarnava Dey, Arijit Mukherjee, Arpan Pal, Balamuralidhar P:
Embedded Deep Inference in Practice: Case for Model Partitioning. 25-30 - Jin Tao, Urmish Thakker, Ganesh Dasika, Jesse G. Beu:
Skipping RNN State Updates without Retraining the Original Model. 31-36 - Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk:
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. 37-42
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.