JPWO2021075009A1 - - Google Patents

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JPWO2021075009A1
JPWO2021075009A1 JP2021552047A JP2021552047A JPWO2021075009A1 JP WO2021075009 A1 JPWO2021075009 A1 JP WO2021075009A1 JP 2021552047 A JP2021552047 A JP 2021552047A JP 2021552047 A JP2021552047 A JP 2021552047A JP WO2021075009 A1 JPWO2021075009 A1 JP WO2021075009A1
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Japan
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JP2021552047A
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JP7331938B2 (ja
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • G06N3/0455Auto-encoder networks; Encoder-decoder networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0895Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/096Transfer learning
JP2021552047A 2019-10-16 2019-10-16 学習装置、推定装置、学習方法及び学習プログラム Active JP7331938B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/040777 WO2021075009A1 (ja) 2019-10-16 2019-10-16 学習装置、推定装置、学習方法及び学習プログラム

Publications (2)

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JPWO2021075009A1 true JPWO2021075009A1 (ja) 2021-04-22
JP7331938B2 JP7331938B2 (ja) 2023-08-23

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JP2021552047A Active JP7331938B2 (ja) 2019-10-16 2019-10-16 学習装置、推定装置、学習方法及び学習プログラム

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US (1) US20220405585A1 (ja)
JP (1) JP7331938B2 (ja)
WO (1) WO2021075009A1 (ja)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023223510A1 (ja) * 2022-05-19 2023-11-23 日本電信電話株式会社 学習装置、学習方法及び学習プログラム

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160048741A1 (en) * 2014-08-12 2016-02-18 Siemens Aktiengesellschaft Multi-layer aggregation for object detection
JP2019140680A (ja) * 2018-02-09 2019-08-22 株式会社Preferred Networks オートエンコーダ装置、データ処理システム、データ処理方法及びプログラム

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6881207B2 (ja) 2017-10-10 2021-06-02 日本電信電話株式会社 学習装置、プログラム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160048741A1 (en) * 2014-08-12 2016-02-18 Siemens Aktiengesellschaft Multi-layer aggregation for object detection
JP2019140680A (ja) * 2018-02-09 2019-08-22 株式会社Preferred Networks オートエンコーダ装置、データ処理システム、データ処理方法及びプログラム

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
C.M.ビショップ著, 元田浩ほか監訳, パターン認識と機械学習 下 ベイズ理論による統計的予測, vol. 初版2刷, JPN6020001577, 8 August 2008 (2008-08-08), ISSN: 0005039407 *
FORSYTH, DAVID A.ほか著, 大北剛訳, コンピュータビジョン, vol. 初版1刷, JPN6020001578, 25 January 2007 (2007-01-25), ISSN: 0005039408 *
ZAHEER, MANZIL ET AL.: "Deep Sets", ARXIV [ONLINE], JPN6020001576, 14 April 2018 (2018-04-14), ISSN: 0005039406 *
岩田具治: "確率的潜在変数モデルに基づくデータマイニング", オペレーションズ・リサーチ, vol. 第64巻, 第5号, JPN6020001575, 1 May 2019 (2019-05-01), JP, pages 272 - 277, ISSN: 0005039405 *

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Publication number Publication date
JP7331938B2 (ja) 2023-08-23
US20220405585A1 (en) 2022-12-22
WO2021075009A1 (ja) 2021-04-22

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