A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition
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About A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition
This paper, published in 2019, received 331 indexed citations . Written by Kaixuan Chen, Lina Yao, Dalin Zhang, XIANZHI WANG, Xiaojun Chang and Feiping Nie covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (211 citations), Artificial Intelligence (161 citations), Biomedical Engineering (48 citations), Computer Networks and Communications (41 citations) and Information Systems (26 citations). Published in IEEE Transactions on Neural Networks and Learning Systems.
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This paper is also available at doi.org/10.1109/tnnls.2019.2927224.