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dc.contributor.authorYamasaki, Ryoyaen
dc.contributor.transcriptionヤマサキ, リョウヤja-kana
dc.date.accessioned2024-07-24T05:10:52Z-
dc.date.available2024-07-24T05:10:52Z-
dc.date.issued2024-03-25-
dc.identifier.urihttp://hdl.handle.net/2433/288874-
dc.language.isoeng-
dc.publisherKyoto Universityen
dc.publisher.alternative京都大学ja
dc.rightsChapter 3 is based on "Ryoya Yamasaki and Toshiyuki Tanaka. Properties of Mean Shift. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42(9): 2273-2286, 2020. doi: 10.1109/TPAMI.2019.2913640." with ?2020 IEEE and on "Ryoya Yamasaki and Toshiyuki Tanaka. Convergence Analysis of Mean Shift. arXiv preprint arXiv:2305.08463v3 [stat.ML], 2023. doi: 10.48550/arXiv.2305.08463." with CC-BY lisence. Chapter 4 is based on "Ryoya Yamasaki and Toshiyuki Tanaka. Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm. In Proceedings of the 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 595-601, 2019. doi: 10.1109/ICMLA.2019.00110." with ?2019 IEEE. Chapter 5 is based on "Ryoya Yamasaki and Toshiyuki Tanaka. Convergence Analysis of Blurring Mean Shift. arXiv preprint arXiv:2402.15146v1 [cs.LG], 2024. doi: 10.48550/arXiv:2402.15146." with CC-BY lisence. In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of [university/educational entity's name goes here]'s products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.en
dc.subjectMean Shiften
dc.subjectIteratively Reweighted Least Squaresen
dc.subjectBlurring Mean Shiften
dc.subjectConvergenceen
dc.subjectKernelen
dc.subjectMinorize-Maximizeen
dc.subjectKurdyka-?ojasiewiczen
dc.subject.ndc007-
dc.titleConvergence Analysis of Mean Shift Type Algorithmsen
dc.title.alternative平均値シフト型アルゴリズムの収束解析ja
dc.typedoctoral thesis-
dc.type.niitypeThesis or Dissertation-
dc.textversionETD-
dc.description.degreegrantor京都大学ja
dc.description.degreelevel新制・課程博士-
dc.description.degreediscipline博士(情報学)ja
dc.description.degreereportnumber甲第25440号-
dc.description.degreenumber情博第878号-
dc.date.granted2024-03-25-
dc.description.degreeaffiliation京都大学大学院情報学研究科システム科学専攻-
dc.description.degreeexamcommittee(主査)教授 田中 利幸, 教授 下平 英寿, 教授 山下 信雄-
dc.description.degreeprovision学位規則第4条第1項該当-
dc.identifier.selfDOI10.14989/doctor.k25440-
dcterms.accessRightsopen access-
dc.description.degreediscipline-enDoctor of Informaticsen
dc.identifier.degreegrantorID14301-
dc.description.degreegrantor-enKyoto Universityen
dc.description.degreeObjectTypeDFAM-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.Name田中, 利幸ja
jpcoar.contributor.Name下平, 英寿ja
jpcoar.contributor.Name山下, 信雄ja
出現コレクション:140 博士(情報学)

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