{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:06:41Z","timestamp":1767182801426,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T00:00:00Z","timestamp":1632355200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T00:00:00Z","timestamp":1632355200000},"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":[[2021,9,23]]},"DOI":"10.1109\/mfi52462.2021.9591161","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T23:00:31Z","timestamp":1637017231000},"page":"1-5","source":"Crossref","is-referenced-by-count":3,"title":["Gaussian Mixture Estimation from Weighted Samples"],"prefix":"10.1109","author":[{"given":"Daniel","family":"Frisch","sequence":"first","affiliation":[{"name":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT),Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Karlsruhe,Germany"}]},{"given":"Uwe D.","family":"Hanebeck","sequence":"additional","affiliation":[{"name":"Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT),Intelligent Sensor-Actuator-Systems Laboratory (ISAS),Karlsruhe,Germany"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION45008.2020.9190540"},{"key":"ref11","first-page":"1","article-title":"C4. 5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling Beats Over-Sampling","volume":"11","author":"drummond","year":"0","journal-title":"Workshop on Learning from Imbalanced Datasets II ICML"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/335191.335384"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/11546849_48"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s40064-016-2677-4"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm320"},{"key":"ref16","article-title":"A Weighted K-Means Algorithm Applied to Brain Tissue Classification","volume":"5","author":"abras","year":"2005","journal-title":"Journal of Computer Science & Technology"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017616"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/584792.584890"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/S0031-3203(02)00060-2","article-title":"The Global K-Means Clustering Algorithm","volume":"36","author":"likas","year":"2003","journal-title":"Pattern Recognition"},{"journal-title":"EM_ WD","year":"2016","author":"gebru","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2006.1706760"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2014.6958874"},{"key":"ref3","first-page":"56","article-title":"Probabilistic Hierarchical Clustering With Labeled and Unlabeled Data","volume":"6","author":"larsen","year":"2002","journal-title":"International Journal of Knowledge Based Intelligent Engineering Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2011.5705687"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2007.4441750"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2018.09.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.10.015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/331499.331504"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10596-010-9205-3"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2522425"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1137\/1026034"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176346060"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum Likelihood from Incomplete Data Via the EM Algorithm","volume":"39","author":"dempster","year":"1977","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(03)00140-7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/34.990138"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2011.11.002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.01.005"}],"event":{"name":"2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","start":{"date-parts":[[2021,9,23]]},"location":"Karlsruhe, Germany","end":{"date-parts":[[2021,9,25]]}},"container-title":["2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9591157\/9591159\/09591161.pdf?arnumber=9591161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T20:59:29Z","timestamp":1705352369000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9591161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,23]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/mfi52462.2021.9591161","relation":{},"subject":[],"published":{"date-parts":[[2021,9,23]]}}}