{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T00:06:14Z","timestamp":1744329974511,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/icassp40776.2020.9053470","type":"proceedings-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T20:21:13Z","timestamp":1586463673000},"page":"3817-3821","source":"Crossref","is-referenced-by-count":2,"title":["Modeling Piece-Wise Stationary Time Series"],"prefix":"10.1109","author":[{"given":"Daoping","family":"Wu","sequence":"first","affiliation":[]},{"given":"Suhas","family":"Gundimeda","sequence":"additional","affiliation":[]},{"given":"Shaoshuai","family":"Mou","sequence":"additional","affiliation":[]},{"given":"Christopher J.","family":"Quinn","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.737745"},{"key":"ref11","article-title":"Learning sparse penalties for change-point detection using max margin interval regression","author":"hocking","year":"2013","journal-title":"International Conference on Machine Learning"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2007.4301363"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10463-008-0197-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.146"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45231-7_26"},{"key":"ref16","first-page":"1","article-title":"A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis Xueguan Song","volume":"133","author":"xueguan song","year":"2019","journal-title":"Mechanical Systems and Signal Processing"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/RIVF.2019.8713738"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000745"},{"key":"ref19","first-page":"2844","article-title":"Automatic segmentation of data sequences","author":"chen","year":"2018","journal-title":"32nd AAAI Conf Artif Intell AAAI 2018"},{"key":"ref4","article-title":"Consistency Results in Multiple Change-Point Problems","author":"venkatraman","year":"1992","journal-title":"Ph D thesis"},{"key":"ref3","first-page":"55","article-title":"Detecting &#x201D;Disorder\" in Multidimensional Random Processes","volume":"24","author":"vostrikova","year":"1981","journal-title":"Soviet Mathematics Doklady"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1983.1056737"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0092-8240(89)80047-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1214\/16-STS587"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0255(83)90008-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1214\/18-EJS1513"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-016-0987-z"},{"article-title":"A review of change point detection methods","year":"2018","author":"truong","key":"ref9"},{"key":"ref20","doi-asserted-by":"crossref","DOI":"10.1145\/2588555.2588556","article-title":"AutoPlait: Automatic mining of coevolving time sequences","author":"matsubara","year":"2014","journal-title":"Proceedings of the ACM SIGMOD International Conference on Management of Data"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00205"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/sam.10124"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/jae.659"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/4643.001.0001"},{"year":"0","key":"ref25","article-title":"CMU Graphics Lab Motion Capture Database"}],"event":{"name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2020,5,4]]},"location":"Barcelona, Spain","end":{"date-parts":[[2020,5,8]]}},"container-title":["ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9040208\/9052899\/09053470.pdf?arnumber=9053470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:10:27Z","timestamp":1656375027000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9053470\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp40776.2020.9053470","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}