IEEE - Institute of Electrical and Electronics Engineers, Inc. - Knowledge-Graph Based Multi-Target Deep-Learning Models for Train Anomaly Detection

2018 International Conference on Intelligent Rail Transportation (ICIRT)

Author(s): Zhiliang Qin ; Chen Cen ; Wang Jie ; Teo Sin Gee ; Vijay Ramaseshan Chandrasekhar ; Zhongbo Peng ; Zeng Zeng
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2018
Conference Location: Singapore, Singapore
Conference Date: 12 December 2018
Page(s): 1 - 5
ISBN (Electronic): 978-1-5386-7528-1
ISBN (USB): 978-1-5386-7527-4
DOI: 10.1109/ICIRT.2018.8641687
Regular:

The state-of-art image segmentation algorithms can be applied to accurately localize objects by using deep convolutional neural networks (CNN). In this paper, we consider the anomaly detection... View More

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