Weakly-supervised action localization aims to recognize and localize act...
Streaming data collection is essential to real-time data analytics in va...
Intelligent applications based on machine learning are impacting many pa...
LoRaWAN deployments follow an ad-hoc deployment model that has organical...
The emerging edge-cloud collaborative Deep Learning (DL) paradigm aims a...
Distributed machine learning (ML) at network edge is a promising paradig...
The real-time query of massive surveillance video data plays a fundament...
Federated learning has been showing as a promising approach in paving th...
Neural architecture search (NAS) is proposed to automate the architectur...
Rich high-quality annotated data is critical for semantic segmentation
l...
We introduce a novel scheme to train binary convolutional neural network...