Zobrazeno 1 - 10
of 711
pro vyhledávání: '"TAKAGI, Kentaro"'
Publikováno v:
28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I, pp 209-220
Recently, representation learning with contrastive learning algorithms has been successfully applied to challenging unlabeled datasets. However, these methods are unable to distinguish important features from unimportant ones under simply unsupervise
Externí odkaz:
http://arxiv.org/abs/2408.04891
Clustering is one of the most fundamental tasks in machine learning. Recently, deep clustering has become a major trend in clustering techniques. Representation learning often plays an important role in the effectiveness of deep clustering, and thus
Externí odkaz:
http://arxiv.org/abs/2106.00131
Publikováno v:
In Ecological Informatics May 2023 74
Publikováno v:
Proceedings of The 10th Asian Conference on Machine Learning, PMLR 95:49-64, 2018
Clustering is a fundamental machine learning task and can be used in many applications. With the development of deep neural networks (DNNs), combining techniques from DNNs with clustering has become a new research direction and achieved some success.
Externí odkaz:
http://arxiv.org/abs/1812.02293
Autor:
Yoshida, Motomu *, Gobara, Shogo *, Hiruta, Toshiki *, Inoue, Tsuyoshi, Iwasaki, Tetsuya, Takagi, Kentaro *
Publikováno v:
In IFAC PapersOnLine 2023 56(2):6344-6350
Publikováno v:
In IFAC PapersOnLine 2023 56(2):7516-7522
Autor:
Takagi, Kentaro, Taketomi, Shuji, Inui, Hiroshi, Yamagami, Ryota, Kawaguchi, Kohei, Sameshima, Shin, Kage, Tomofumi, Tahara, Keitaro, Tanaka, Sakae
Publikováno v:
In The Knee August 2022 37:112-120
Autor:
Takagi, Kentaro
0048
甲第18781号
理博第4039号
新制||理||1581(附属図書館)
31732
学位規則第4条第1項該当
Doctor of Science
Kyoto University
DFAM
甲第18781号
理博第4039号
新制||理||1581(附属図書館)
31732
学位規則第4条第1項該当
Doctor of Science
Kyoto University
DFAM
Externí odkaz:
http://hdl.handle.net/2433/199090
Autor:
Akitsu, Tomoko Kawaguchi, Nasahara, Kenlo Nishida, Ijima, Osamu, Hirose, Yasuo, Ide, Reiko, Takagi, Kentaro, Kume, Atsushi
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation April 2022 108