Deep Neural Networks for Learning Spatio-Temporal Features From Tomography Sensors

IEEE Transactions on Industrial Electronics

Volumn 65, Issue 1, 2018, Pages 645-653

  Costilla Reyes, Omar ^a   Scully, Patricia ^a   Ozanyan, Krikor B ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Convolutional neural networks (CNNs); deep learning; floor sensor system; machine learning; spatio temporal analysis; tomography

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVOLUTION; DECISION MAKING; DEEP LEARNING; DEEP NEURAL NETWORKS; EXTRACTION; FEATURE EXTRACTION; FLOORS; GAIT ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SENSORS; LEARNING SYSTEMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; TOMOGRAPHY;

CLASSIFICATION FEATURES; COMPUTATIONALLY EFFICIENT; CONVOLUTIONAL NEURAL NETWORK; FLOOR SENSORS; MACHINE LEARNING MODELS; SENSOR SYSTEMS; SPATIO TEMPORAL FEATURES; SPATIOTEMPORAL ANALYSIS;

CLASSIFICATION (OF INFORMATION);

EID: 85028466514     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2017.2716907     Document Type: Article

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