%0 Conference Paper %1 conf/ijcnn/SuhCKC16 %A Suh, Suwon %A Chae, Daniel H. %A Kang, Hyon-Goo %A Choi, Seungjin %B IJCNN %D 2016 %I IEEE %K dblp %P 1015-1022 %T Echo-state conditional variational autoencoder for anomaly detection. %U http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#SuhCKC16 %@ 978-1-5090-0620-5

@inproceedings{conf/ijcnn/SuhCKC16, added-at = {2016-11-11T00:00:00.000+0100}, author = {Suh, Suwon and Chae, Daniel H. and Kang, Hyon-Goo and Choi, Seungjin}, biburl = {https://www.bibsonomy.org/bibtex/28de3185485b152cc9908c58b8f652299/dblp}, booktitle = {IJCNN}, crossref = {conf/ijcnn/2016}, ee = {http://dx.doi.org/10.1109/IJCNN.2016.7727309}, interhash = {178a14ccc96ec2c07471643a47ec7f2b}, intrahash = {8de3185485b152cc9908c58b8f652299}, isbn = {978-1-5090-0620-5}, keywords = {dblp}, pages = {1015-1022}, publisher = {IEEE}, timestamp = {2016-11-12T11:33:42.000+0100}, title = {Echo-state conditional variational autoencoder for anomaly detection.}, url = {http://dblp.uni-trier.de/db/conf/ijcnn/ijcnn2016.html#SuhCKC16}, year = 2016 }