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ファイル | 記述 | サイズ | フォーマット | |
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djohk00878.pdf | Dissertation_全文 | 6.19 MB | Adobe PDF | 見る/開く |
yjohk00878.pdf | Abstract_要旨 | 105.34 kB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
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dc.contributor.author | Yamasaki, Ryoya | en |
dc.contributor.transcription | ヤマサキ, リョウヤ | ja-kana |
dc.date.accessioned | 2024-07-24T05:10:52Z | - |
dc.date.available | 2024-07-24T05:10:52Z | - |
dc.date.issued | 2024-03-25 | - |
dc.identifier.uri | http://hdl.handle.net/2433/288874 | - |
dc.language.iso | eng | - |
dc.publisher | Kyoto University | en |
dc.publisher.alternative | 京都大学 | ja |
dc.rights | Chapter 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.subject | Mean Shift | en |
dc.subject | Iteratively Reweighted Least Squares | en |
dc.subject | Blurring Mean Shift | en |
dc.subject | Convergence | en |
dc.subject | Kernel | en |
dc.subject | Minorize-Maximize | en |
dc.subject | Kurdyka-?ojasiewicz | en |
dc.subject.ndc | 007 | - |
dc.title | Convergence Analysis of Mean Shift Type Algorithms | en |
dc.title.alternative | 平均値シフト型アルゴリズムの収束解析 | ja |
dc.type | doctoral thesis | - |
dc.type.niitype | Thesis or Dissertation | - |
dc.textversion | ETD | - |
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.granted | 2024-03-25 | - |
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.selfDOI | 10.14989/doctor.k25440 | - |
dcterms.accessRights | open access | - |
dc.description.degreediscipline-en | Doctor of Informatics | en |
dc.identifier.degreegrantorID | 14301 | - |
dc.description.degreegrantor-en | Kyoto University | en |
dc.description.degreeObjectType | DFAM | - |
jpcoar.contributor.Type | Supervisor | - |
jpcoar.contributor.Type | Supervisor | - |
jpcoar.contributor.Type | Supervisor | - |
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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