Presentation 2021-01-20
[Invited Talk] Machine learning techniques for bridging heterogeneous domains
Mori Kurokawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # CQ2020-70
Date of Issue 2021-01-13 (CQ)

Conference Information
Committee CQ
Conference Date 2021/1/20(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, Video Communication, etc.
Chair Hideyuki Shimonishi(NEC)
Vice Chair Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.)
Secretary Jun Okamoto(Doshisha Univ.) / Takefumi Hiraguri(NICT)
Assistant Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) / Ryoichi Kataoka(KDDI Research)

Paper Information
Registration To Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Machine learning techniques for bridging heterogeneous domains
Sub Title (in English)
Keyword(1)
1st Author's Name Mori Kurokawa
1st Author's Affiliation KDDI Research, Inc.(KDDI Research, Inc.)
Date 2021-01-20
Paper # CQ2020-70
Volume (vol) vol.120
Number (no) CQ-314
Page pp.pp.55-56(CQ),
#Pages 2
Date of Issue 2021-01-13 (CQ)