{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T16:41:01Z","timestamp":1751474461202,"version":"3.28.0"},"reference-count":12,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T00:00:00Z","timestamp":1629676800000},"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":[[2021,8,23]]},"DOI":"10.23919\/eusipco54536.2021.9616212","type":"proceedings-article","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T21:55:53Z","timestamp":1639000553000},"page":"1501-1505","source":"Crossref","is-referenced-by-count":3,"title":["Flipping Data Augmentation of Convolutional Neural Networks Using Discrete Cosine Transforms"],"prefix":"10.23919","author":[{"given":"Izumi","family":"Ito","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683197"},{"key":"ref3","article-title":"Dreaming more data: Class-dependent distributions over diffeomorphisms for learned data augmentation","author":"hauberg","year":"2016","journal-title":"Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS)"},{"journal-title":"Neural Networks Tricks of the Trade","year":"1998","author":"lecun","key":"ref6"},{"key":"ref10","first-page":"803","volume":"32","author":"wang","year":"1984","journal-title":"Fast algorithms for the discrete w transform and for the discrete fourier transform"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533048"},{"key":"ref11","first-page":"1341","volume":"33","author":"wang","year":"1985","journal-title":"On computing the discrete fourier and cosine transforms"},{"journal-title":"Discrete-Time Signal Processing","year":"1999","author":"oppenheim","key":"ref8"},{"key":"ref12","article-title":"A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"ArXiv"},{"key":"ref7","article-title":"Fast training of convolutional networks through FFTs","author":"mathieu","year":"2014","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1587\/transfun.E96.A.1518"}],"event":{"name":"2021 29th European Signal Processing Conference (EUSIPCO)","start":{"date-parts":[[2021,8,23]]},"location":"Dublin, Ireland","end":{"date-parts":[[2021,8,27]]}},"container-title":["2021 29th European Signal Processing Conference (EUSIPCO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9615915\/9615917\/09616212.pdf?arnumber=9616212","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T20:57:30Z","timestamp":1647896250000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9616212\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,23]]},"references-count":12,"URL":"https:\/\/doi.org\/10.23919\/eusipco54536.2021.9616212","relation":{},"subject":[],"published":{"date-parts":[[2021,8,23]]}}}