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Deep Learning Approaches on the Recognition of Affective Properties of Images / 深層学習を用いた画像の情動的属性の認識

京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第22800号 / 情博第730号 / 新制||情||125(附属図書館) / 京都大学大学院情報学研究科知能情報学専攻 / (主査)准教授 中澤 篤志, 教授 西野 恒, 教授 鹿島 久嗣 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DGAM

Identiferoai:union.ndltd.org:kyoto-u.ac.jp/oai:repository.kulib.kyoto-u.ac.jp:2433/259068
Date23 September 2020
CreatorsYamamoto, Takahisa
Contributors中澤, 篤志, 西野, 恒, 鹿島, 久嗣, 山本, 卓永, ヤマモト, タカヒサ
PublisherKyoto University, 京都大学
Source SetsKyoto University
LanguageEnglish
Detected LanguageEnglish
Typedoctoral thesis, Thesis or Dissertation
Formatapplication/pdf
Rights学位規則第9条第2項により要約公開, Chapter 4 (from Section 4.1 to 4.4.1) (c)IEICE. Chapter 4 (from Section 4.1 to 4.4.1) is based on the work published in Takahisa Yamamoto and Atsushi Nakazawa: Fashion Style Classification through Separating an Input Image into Elements and Elements-based Learning, The Transaction of The Institute of Electronics, Information and Communication Engineers, vol. J102-D, no. 10, pp. 639-650, October 2019 (in Japanese). DOI:10.14923/transinfj.2019IEP0004; Chapter 4 (Section 4.5) (c)IEEE. Chapter 4 (Section 4.5) is based on the work published in Takahisa Yamamoto and Atsushi Nakazawa: Fashion Style Recognition Using Component-Dependent Convolutional Neural Networks, IEEE International Conference on Image Processing (ICIP), pp. 3397-3401, September 2019. DOI: 10.1109/ICIP.2019.8803622;
Relationhttps://doi.org/10.14923/transinfj.2019IEP0004, https://doi.org/10.1109/ICIP.2019.8803622

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