{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T06:26:46Z","timestamp":1777444006846,"version":"3.51.4"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/icip.2019.8802962","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T15:32:48Z","timestamp":1566833568000},"page":"894-898","source":"Crossref","is-referenced-by-count":6,"title":["DCT Based Information-Preserving Pooling for Deep Neural Networks"],"prefix":"10.1109","author":[{"given":"Yuhao","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hideki","family":"Nakayama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Fast convolutional nets with fbfft: A gpu performance evaluation","author":"vasilache","year":"2014","journal-title":"arXiv preprint arXiv 1412 7580"},{"key":"ref11","first-page":"2449","article-title":"Spectral representations for convolutional neural networks","author":"rippel","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_6"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91253-0_23"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1974.223784"},{"key":"ref15","volume":"31999","author":"bracewell","year":"1986","journal-title":"The Fourier Transform and Its Applications"},{"key":"ref16","first-page":"81","article-title":"Image compression using the discrete cosine transform","volume":"4","author":"watson","year":"1994","journal-title":"Mathematica Journal"},{"key":"ref17","first-page":"253","article-title":"Cnnpack: packing convolutional neural networks in the frequency domain","author":"wang","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1090\/S0025-5718-1965-0178586-1"},{"key":"ref19","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009","journal-title":"Citeseer Tech Rep"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref6","article-title":"Stochastic pooling for regularization of deep convolutional neural networks","author":"zeiler","year":"2013","journal-title":"arXiv preprint arXiv 1301 3557"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1007\/978-3-319-11740-9_34","article-title":"Mixed pooling for convolutional neural networks","author":"yu","year":"2014","journal-title":"Rough Sets and Knowledge Technology First International Conference"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00949"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.426"},{"key":"ref2","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref1","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"Fast training of convolutional networks through ffts","author":"mathieu","year":"2013","journal-title":"arXiv preprint arXiv 1312 5851"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref22","first-page":"215","article-title":"An analysis of single-layer networks in unsupervised feature learning","author":"coates","year":"2011","journal-title":"Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics"},{"key":"ref21","article-title":"Batch nor-malization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 03167"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","location":"Taipei, Taiwan","start":{"date-parts":[[2019,9,22]]},"end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08802962.pdf?arnumber=8802962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T10:49:16Z","timestamp":1658141356000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8802962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8802962","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}