京都大学 / 新制・課程博士 / 博士(情報学) / 甲第25440号 / 情博第878号 / 京都大学大学院情報学研究科システム科学専攻 / (主査)教授 田中 利幸, 教授 下平 英寿, 教授 山下 信雄 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM
Identifer | oai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/288874 |
Date | 25 March 2024 |
Creators | Yamasaki, Ryoya |
Contributors | ヤマサキ, リョウヤ |
Publisher | Kyoto University, 京都大学 |
Source Sets | Kyoto University |
Language | English |
Detected Language | English |
Type | doctoral thesis, Thesis or Dissertation |
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. |
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