{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T11:29:47Z","timestamp":1730201387908,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T00:00:00Z","timestamp":1628035200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,4]]},"DOI":"10.1109\/bmsb53066.2021.9547170","type":"proceedings-article","created":{"date-parts":[[2021,10,2]],"date-time":"2021-10-02T02:28:26Z","timestamp":1633141706000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Multi-instance Conditional Autoencoder a data driven compression model for strongly correlated datasets"],"prefix":"10.1109","author":[{"given":"Jalal","family":"Al-afandi","sequence":"first","affiliation":[]},{"given":"Andras","family":"Horvath","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Autoencoders for music sound modeling a comparison of linear shallow deep recurrent and variational models","year":"2019","author":"roche","key":"ref10"},{"journal-title":"Adversarial latent autoen-coders","year":"2020","author":"pidhorskyi","key":"ref11"},{"key":"ref12","article-title":"Contractive auto-encoders: Explicit invariance during feature extraction","author":"rifai","year":"0","journal-title":"International Conference on Machine Learning"},{"journal-title":"Auto-encoding variational bayes","year":"2014","author":"kingma","key":"ref13"},{"key":"ref14","article-title":"Image restoration using convolutional auto-encoders with symmetric skip connections","volume":"abs 1606 8921","author":"mao","year":"2016","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1816"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2019.00070"},{"journal-title":"The MNIST Database of Handwritten Digits","year":"1998","author":"lecun","key":"ref17"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.21437\/SLTU.2018-11"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.09.070"},{"journal-title":"Draw A recurrent neural network for image generation","year":"2015","author":"gregor","key":"ref3"},{"journal-title":"Anomaly detection using deep autoencoders for in-situ wastewater systems monitoring data","year":"2020","author":"russo","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1101"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1974.223784"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MC.1984.1659158"},{"key":"ref2","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690370209"},{"key":"ref9","article-title":"An autoencoder-based learned image compressor: Description of challenge proposal by NCTU","volume":"abs 1902 7385","author":"alexandre","year":"2019","journal-title":"CoRR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1929"}],"event":{"name":"2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","start":{"date-parts":[[2021,8,4]]},"location":"Chengdu, China","end":{"date-parts":[[2021,8,6]]}},"container-title":["2021 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9547051\/9547014\/09547170.pdf?arnumber=9547170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:46:44Z","timestamp":1652183204000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9547170\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,4]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bmsb53066.2021.9547170","relation":{},"subject":[],"published":{"date-parts":[[2021,8,4]]}}}