Presentation 2020-10-20
Few-shot Anomaly Detection by Extracting Common Feature of Set Data
Kazuki Sato, Satoshi Nakata, Takashi Matsubara, Kuniaki Uehara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # IBISML2020-9
Date of Issue 2020-10-13 (IBISML)

Conference Information
Committee IBISML
Conference Date 2020/10/20(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Organized Sessions on Frontiers of Machine Learning and General Sessions
Chair Ichiro Takeuchi(Nagoya Inst. of Tech.)
Vice Chair Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Masashi Sugiyama(AIST) / Koji Tsuda(NTT)
Assistant Atsuyoshi Nakamura(Hokkaido Univ.) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Infomation-Based Induction Sciences and Machine Learning
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Few-shot Anomaly Detection by Extracting Common Feature of Set Data
Sub Title (in English)
Keyword(1)
1st Author's Name Kazuki Sato
1st Author's Affiliation Kobe University(Kobe Univ.)
2nd Author's Name Satoshi Nakata
2nd Author's Affiliation The KAITEKI Institute, Inc.(The KAITEKI Institute)
3rd Author's Name Takashi Matsubara
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Kuniaki Uehara
4th Author's Affiliation Osaka Gakuin University(Osaka Gakuin Univ.)
Date 2020-10-20
Paper # IBISML2020-9
Volume (vol) vol.120
Number (no) IBISML-195
Page pp.pp.8-13(IBISML),
#Pages 6
Date of Issue 2020-10-13 (IBISML)