{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:56:36Z","timestamp":1772121396689,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956205","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"1294-1299","source":"Crossref","is-referenced-by-count":3,"title":["Orthogonal regularizers in deep learning: how to handle rectangular matrices?"],"prefix":"10.1109","author":[{"given":"Estelle","family":"Massart","sequence":"first","affiliation":[{"name":"Université Catholique de Louvain,Icteam,Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11768"},{"key":"ref11","article-title":"Can we gain more from orthogonality regularizations in training deep CNNs?","author":"bansal","year":"2018","journal-title":"32nd Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01152"},{"key":"ref13","article-title":"Orthogonalizing Convolutional Layers with the Cayley Transform","author":"trockman","year":"2021","journal-title":"Proceedings of the 9th International Conference on Learning Representations"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.56021\/9781421407944","author":"golub","year":"2013","journal-title":"Matrix Computations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1137\/18M1231389"},{"key":"ref16","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"the 32th International Conference on Machine Learning (ICML)"},{"key":"ref4","first-page":"1352","article-title":"Orthogonal deep neural networks","volume":"43","author":"jia","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref3","article-title":"Provable benefit of orthogonal initialization in optimizing deep linear networks","author":"hu","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref6","article-title":"Orthogonal wasserstein gans","author":"m\u00fcller","year":"2019"},{"key":"ref5","article-title":"Unitary evolution recurrent neural networks","author":"arjovsky","year":"2016","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2021.07.023"},{"key":"ref2","article-title":"Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice","author":"pennington","year":"2017","journal-title":"31st Conference on Neural Information Processing Systems (NIPS)"},{"key":"ref1","article-title":"Regularizing CNNs with locally constrained decorrelations","author":"rodriguez","year":"2017","journal-title":"5th International Conference on Learning Representations (ICLR)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20742"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956205.pdf?arnumber=9956205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,14]],"date-time":"2023-03-14T19:29:51Z","timestamp":1678822191000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956205\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956205","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}