Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2877153
Abstract: Internet of Things applications can greatly benefit from accurate prediction models. The performance of prediction models is highly dependent on the quantity and quality of their training data. In this paper, we investigate the creation… read more here.
Keywords: training data; dynamic ensemble; spatio temporal; exploiting spatio ... See more keywords
Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2022.3158834
Abstract: Spiking Neural Networks (SNNs) are developed as a promising alternative to Artificial Neural networks (ANNs) due to their more realistic brain-inspired computing models. SNNs have sparse neuron firing over time, i.e., spatio-temporal sparsity; thus, they… read more here.
Keywords: spatio temporal; spiking neural; exploiting spatio; workload balance ... See more keywords
Exploiting the Spatio-Temporal Attributes of HD Videos: A Bandwidth Efficient Approach
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2859775
Abstract: This paper proposes a novel method named exploiting spatio-temporal attributes of videos, which focuses on reducing bandwidth consumption in high-definition video streaming services. The method sequentially embeds every ninth frame of a video sequence in… read more here.
Keywords: video; temporal attributes; spatio temporal; exploiting spatio ... See more keywords