[confproc]
D. -B. Yoon
/ 2016
/ A Study on Acoustic Signal Processing Method for Detecting Small Leak of Piping System
/ Proceedings of the Domestic conference on the Korean Society for Noise and Vibration Engineering
: 139~139
[confproc]
J. -H. Bae
/ 2018
/ Deep-Learning-Based Pipe Leak Detection Using Image-Based Leak Features
/ Proceedings of the IEEE International Conference on Image Processing (ICIP)
: 2361~2365
[book]
D.E. Rumelhart
/ 1986
/ Parallel Distributed Processing. Vol. 1: Foundations
/ MIT Press
: 318~362
[book]
F. Rosenblatt
/ 1961
/ Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
/ Spartan Books
[journal]
G. Cybenko
/ 1989
/ Approximation by superpositions of a sigmoidal function
/ Mathematics of Control, Signals, and Systems
2(4)
: 303~314
[confproc]
C. Szegedy
/ 2015
/ Going Deeper with Convolutions
/ Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
: 1~9
[confproc]
K. Simonyan
/ 2015
/ Very Deep Convolutional Networks for Large-scale Image Recognition
/ Proceedings of 5th International Conference on Learning Representations (ICLR)
: 1~14
[confproc]
K. He
/ 2016
/ Deep Residual Learning for Image Recognition
/ Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
: 1~12
[confproc]
G. Huang
/ 2017
/ Densely Connected Convolutional Networks
/ Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
: 2261~2269
[journal]
S. Hpchreiter
/ 1997
/ Long short-term memory
/ Neural computation
9(8)
: 1735~1780
[other]
K. Cho
/ 2014
/ Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
/ arXiv preprint arXiv : 1406. 1078
[confproc]
A. Borghesi
/ 2019
/ Anomaly detection using autoencoders in high performance computing systems
/ Proceedings of the AAAI Conference on Artificial Intelligence
33(01)
: 9428~9433
[confproc]
T. Luo
/ 2018
/ Distributed Anomaly Detection Using Autoencoder Neural Networks in WSN for IoT
/ Proceedings of 2018 IEEE International Conference on Communications (ICC)
: 1~6
[confproc]
J. Pereira
/ 2018
/ Unsupervised Anomaly Detection in Energy Time Series Data using Variational Recurrent Autoencoders with Attention
/ Proceedings of 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
: 1275~1282
[confproc]
S. Ioffe
/ 2015
/ Batch normalization: accelerating deep network training by reducing internal covariant shift
/ Proceedings of 32nd International Conference on Machine Learning (ICML)
: 1~9