Hybrid DNN-Dirichlet Anomaly Detection and Ranking: Case of Burned Areas Discovery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3207311
Abstract: In the past decade, anomaly detection has experienced an expanding attraction in satellite data analysis. Monitoring wildfire dynamics plays a substantial part in global land management, i.e., to detect and determine the expansion of such… read more here.
Keywords: dnn dirichlet; detection; hybrid dnn; anomaly detection ... See more keywords
A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2942267
Abstract: The continued success in the development of neuromorphic computing has immensely pushed today’s artificial intelligence forward. Deep neural networks (DNNs), a brainlike machine learning architecture, rely on the intensive vector–matrix computation with extraordinary performance in… read more here.
Keywords: neural network; hybrid structured; deep neural; hybrid dnn ... See more keywords