Art

J-GLOBAL ID：201702239139160257   Reference number：17A1913685

Learning theory and algorithms for shapelets and other local features

Shapeletおよび局所特徴に対する学習理論とアルゴリズム

Author (11)： SUEHIRO Daiki (Kyushu Univ.) ,  SUEHIRO Daiki (RIKEN) ,  HATANO Kohei (Kyushu Univ.) ,  HATANO Kohei (RIKEN) ,  TAKIMOTO Eiji (Kyushu Univ.) ,  YAMAMOTO Shuji (Keio Univ.) ,  YAMAMOTO Shuji (RIKEN) ,  BANNAI Kenichi (Keio Univ.) ,  BANNAI Kenichi (RIKEN) ,  TAKEDA Akiko (Inst. of Statistical Mathematics) ,  TAKEDA Akiko (RIKEN)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 117  Issue： 293(IBISML2017 35-89)  Page： 361-368  Publication year： Nov. 02, 2017 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： theory ,  computer algorithm ,  *image characteristic ,  *locality ,  *classification ,  time series ,  image ,  adjustment ,  similarity ,  optimization problem ,  machine learning
Semi thesaurus term： *Binary classification ,  parameter tuning ,  boosting ,  image sequence ,  learning theory ,  *local feature

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Pattern recognition  (JE07000S)

Reference (23)：

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• J. Grabocka, N. Schilling, M. Wistuba, and L. Schmidt-Thieme. Learning time-series shapelets. KDD '14, pages 392-401, 2014.

Terms in the title (3)： 局所特徴 ,  学習理論 ,  アルゴリズム