{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T03:06:56Z","timestamp":1772852816808,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"CFM Ecole Normale Suprieure","award":["CFM-ENS Chair Modles et Sciences des Donnes"],"award-info":[{"award-number":["CFM-ENS Chair Modles et Sciences des Donnes"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/tsp.2020.2990597","type":"journal-article","created":{"date-parts":[[2020,4,27]],"date-time":"2020-04-27T23:54:31Z","timestamp":1588031671000},"page":"3515-3528","source":"Crossref","is-referenced-by-count":34,"title":["NEWMA: A New Method for Scalable Model-Free Online Change-Point Detection"],"prefix":"10.1109","volume":"68","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3846-8763","authenticated-orcid":false,"given":"Nicolas","family":"Keriven","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7855-2847","authenticated-orcid":false,"given":"Damien","family":"Garreau","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0964-0624","authenticated-orcid":false,"given":"Iacopo","family":"Poli","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7152(01)00183-3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1364\/OE.23.011898"},{"key":"ref33","first-page":"2073","article-title":"Linear-time learning on distributions with approximate kernel embeddings","author":"sutherland","year":"0","journal-title":"Proc 30th AAAI Conf Artif Intell"},{"key":"ref32","first-page":"1517","article-title":"Hilbert space embeddings and metrics on probability measures","volume":"11","author":"gretton","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9096-9"},{"key":"ref30","first-page":"73","article-title":"Optimization methods of EWMA statistics","volume":"8","author":"?isar","year":"2011","journal-title":"Acta Polytechnica Hungarica"},{"key":"ref37","first-page":"1197","article-title":"Online kernel selection: Algorithms and evaluations","author":"yang","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-1128-0"},{"key":"ref35","first-page":"1981","article-title":"Fast two-sample testing with analytic representations of probability measures","author":"chwialkowski","year":"2015","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref34","first-page":"1","article-title":"Compressive statistical learning with random feature moments","author":"gribonval","year":"2020"},{"key":"ref10","first-page":"180","article-title":"Detecting change in data streams","author":"ben-david","year":"0","journal-title":"Proc 30th VLDB Conf"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref11","first-page":"6034","article-title":"Optimal transport based change point detection and time series segment clustering","author":"cheng","year":"2020","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3150\/18-BEJ1065"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/16843703.2006.11673116"},{"key":"ref14","first-page":"609","article-title":"Kernel change-point analysis","author":"harchaoui","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1214\/18-EJS1513"},{"key":"ref16","first-page":"513","article-title":"A kernel method for the two-sample problem","author":"gretton","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref17","first-page":"1177","article-title":"Random features for large scale kernel machines","author":"rahimi","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2307\/1266443"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.2010.11917814"},{"key":"ref28","first-page":"80697","article-title":"Efficient anomaly detection via matrix sketching","author":"sharan","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178297"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2015.7418160"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S1053-8119(03)00406-3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27677-9_6"},{"key":"ref29","volume":"645","author":"francis","year":"2018","journal-title":"A Random Fourier Features Based Streaming Algorithm for Anomaly Detection in Large Datasets"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.04.011"},{"key":"ref8","first-page":"1","article-title":"Change-point detection methods for body-worn video","volume":"10","author":"allen","year":"2016","journal-title":"SIAM Undergrad Res Online"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11009-011-9256-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2004.10.026"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s16111784"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2013.6810619"},{"key":"ref46","first-page":"1","article-title":"Detecting change points in the large-scale structure of evolving networks","author":"peel","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.2010.11917815"},{"key":"ref45","author":"cohen","year":"1995","journal-title":"Time-Frequency Analysis"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/07474946.2019.1686886"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2013.01.012"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511802256"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472872"},{"key":"ref41","first-page":"673","article-title":"A fast, consistent kernel two-sample test","author":"gretton","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref23","first-page":"1281","article-title":"Fastfood—Approximating kernel expansions in loglinear time","volume":"28","author":"le","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref44","article-title":"TIMIT acoustic-phonetic continuous speech corpus LDC93S1","author":"garofolo","year":"1993"},{"key":"ref26","first-page":"1139","article-title":"CUSUM and EWMA multi-charts for detecting a range of mean shifts","volume":"17","author":"han","year":"2007","journal-title":"Statistica Sinica"},{"key":"ref43","first-page":"26","article-title":"The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms","author":"dean","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2307\/1269551"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/78\/8933520\/09078835.pdf?arnumber=9078835","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:40:39Z","timestamp":1651070439000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9078835\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tsp.2020.2990597","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}