{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:27:03Z","timestamp":1754162823208,"version":"3.41.2"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"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":[[2019,5]]},"DOI":"10.1109\/icassp.2019.8683378","type":"proceedings-article","created":{"date-parts":[[2019,4,17]],"date-time":"2019-04-17T16:01:56Z","timestamp":1555516916000},"page":"3547-3551","source":"Crossref","is-referenced-by-count":1,"title":["Revisiting and Improving Semi-supervised Learning: A Large Dimensional Approach"],"prefix":"10.1109","author":[{"given":"Xiaoyi","family":"Mai","sequence":"first","affiliation":[{"name":"CentraleSup&#x00E9;lec, University Paris-Saclay"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Romain","family":"Couillet","sequence":"additional","affiliation":[{"name":"CentraleSup&#x00E9;lec, University Paris-Saclay"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"Learning from labeled and unlabeled data with label propagation","year":"2002","author":"zhu","key":"ref10"},{"key":"ref11","first-page":"945","article-title":"Partially labeled classification with markov random walks","volume":"14","author":"jaakkola","year":"2002","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref12","first-page":"379","article-title":"Phase transition in the family of p-resistances","author":"alamgir","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref13","first-page":"420","article-title":"On the surprising behavior of distance metrics in high dimensional space","author":"aggarwal","year":"2001","journal-title":"International Conference on Database Theory"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1109\/TKDE.2007.1037","article-title":"The concentration of fractional distances","volume":"19","author":"francois","year":"2007","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"ref15","first-page":"1","article-title":"On the behavior of intrinsically high-dimensional spaces: Distances, direct and reverse nearest neighbors, and hubness","volume":"18","author":"angiulli","year":"2018","journal-title":"Journal of Machine Learning Research"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"article-title":"The mnist database of handwritten digits","year":"1998","author":"lecun","key":"ref17"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/36.312897"},{"key":"ref3","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref6","first-page":"33","article-title":"Does unlabeled data provably help? worst-case analysis of the sample complexity of semi-supervised learning","author":"ben-david","year":"2008","journal-title":"COLT"},{"key":"ref5","first-page":"327","article-title":"Unlabeled data can degrade classification performance of generative classifiers","author":"cozman","year":"2002","journal-title":"FLAIRS Conference"},{"key":"ref8","first-page":"912","article-title":"Semi-supervised learning using gaussian fields and harmonic functions","volume":"3","author":"zhu","year":"2003","journal-title":"ICML"},{"key":"ref7","first-page":"3239","article-title":"Realistic evaluation of deep semi-supervised learning algorithms","author":"oliver","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"article-title":"A random matrix analysis and improvement of semi-supervised learning for large dimensional data","year":"2017","author":"mai","key":"ref1"},{"key":"ref9","first-page":"321","article-title":"Learning with local and global consistency","volume":"16","author":"zhou","year":"2004","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2019,5,12]]},"location":"Brighton, UK","end":{"date-parts":[[2019,5,17]]}},"container-title":["ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8671773\/8682151\/08683378.pdf?arnumber=8683378","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T18:40:14Z","timestamp":1753900814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8683378\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/icassp.2019.8683378","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}