JPWO2020255260A1 - - Google Patents

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Publication number
JPWO2020255260A1
JPWO2020255260A1 JP2021528504A JP2021528504A JPWO2020255260A1 JP WO2020255260 A1 JPWO2020255260 A1 JP WO2020255260A1 JP 2021528504 A JP2021528504 A JP 2021528504A JP 2021528504 A JP2021528504 A JP 2021528504A JP WO2020255260 A1 JPWO2020255260 A1 JP WO2020255260A1
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JP
Japan
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JP2021528504A
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JP7276449B2 (ja
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B60W40/06—Road conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
JP2021528504A 2019-06-18 2019-06-18 一般化データ生成装置、推定装置、一般化データ生成方法、推定方法、一般化データ生成プログラム、及び推定プログラム Active JP7276449B2 (ja)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/024121 WO2020255260A1 (ja) 2019-06-18 2019-06-18 一般化データ生成装置、推定装置、一般化データ生成方法、推定方法、一般化データ生成プログラム、及び推定プログラム

Publications (2)

Publication Number Publication Date
JPWO2020255260A1 true JPWO2020255260A1 (ja) 2020-12-24
JP7276449B2 JP7276449B2 (ja) 2023-05-18

Family

ID=74040307

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2021528504A Active JP7276449B2 (ja) 2019-06-18 2019-06-18 一般化データ生成装置、推定装置、一般化データ生成方法、推定方法、一般化データ生成プログラム、及び推定プログラム

Country Status (3)

Country Link
US (1) US20220351046A1 (ja)
JP (1) JP7276449B2 (ja)
WO (1) WO2020255260A1 (ja)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018020277A1 (en) * 2016-07-28 2018-02-01 Google Llc Domain separation neural networks
WO2018109505A1 (en) * 2016-12-15 2018-06-21 Google Llc Transforming source domain images into target domain images
WO2019102962A1 (ja) * 2017-11-22 2019-05-31 日本電気株式会社 学習装置、学習方法、及び、記録媒体

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6373227B2 (ja) * 2015-04-28 2018-08-15 日本電信電話株式会社 バリア情報生成装置、バリア情報生成方法およびプログラム
JP7021507B2 (ja) * 2017-11-14 2022-02-17 富士通株式会社 特徴抽出装置、特徴抽出プログラム、および特徴抽出方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018020277A1 (en) * 2016-07-28 2018-02-01 Google Llc Domain separation neural networks
WO2018109505A1 (en) * 2016-12-15 2018-06-21 Google Llc Transforming source domain images into target domain images
WO2019102962A1 (ja) * 2017-11-22 2019-05-31 日本電気株式会社 学習装置、学習方法、及び、記録媒体

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
DENG, W. ET AL.: "Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-", ARXIV, vol. 1711.07027v3, JPN6023004327, 15 May 2018 (2018-05-15), pages 1 - 10, ISSN: 0004983952 *
GHIFARY, M. ET AL.: "Domain Generalization for Object Recognition with Multi-task Autoencoders", ARXIV, vol. 1508.07680v1, JPN6023004323, 31 August 2015 (2015-08-31), pages 1 - 9, ISSN: 0004983951 *
HOFFMAN, J. ET AL.: "Efficient Learning of Domain-invariant Image Representations", ARXIV, vol. 1301.3224v5, JPN6023004325, 9 April 2013 (2013-04-09), pages 1 - 9, ISSN: 0004983950 *

Also Published As

Publication number Publication date
JP7276449B2 (ja) 2023-05-18
WO2020255260A1 (ja) 2020-12-24
US20220351046A1 (en) 2022-11-03

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