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Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX.

, , , , и . MobiSys (Companion Volume), стр. 109. ACM, (2016)

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Lane Brooks

Alexander Lane

Jay Donald Lane

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Peter Lane

 

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Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices., , , , , , , и . UbiComp/ISWC Adjunct, стр. 666-669. ACM, (2018)Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables., и . SenSys, стр. 176-189. ACM, (2016)Federated Self-supervised Learning for Video Understanding., , , , и . ECCV (31), том 13691 из Lecture Notes in Computer Science, стр. 506-522. Springer, (2022)FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout., , , , , и . NeurIPS, стр. 12876-12889. (2021)Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth., , , , , , и . TML4H, том 13932 из Lecture Notes in Computer Science, стр. 147-162. Springer, (2023)Journey Towards Tiny Perceptual Super-Resolution., , , , , , и . ECCV (26), том 12371 из Lecture Notes in Computer Science, стр. 85-102. Springer, (2020)2020 ACM SIGMOBILE Rockstar Award: Nicholas D. Lane.. GetMobile Mob. Comput. Commun., 24 (2): 17 (2020)From smart to deep: Robust activity recognition on smartwatches using deep learning., и . PerCom Workshops, стр. 1-6. IEEE Computer Society, (2016)A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics., , , , , и . CoRR, (2017)Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data., , , , , , , , и . CoRR, (2017)