JP7032623B2 - 推論装置、推論方法及びプログラム - Google Patents

推論装置、推論方法及びプログラム Download PDF

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JP7032623B2
JP7032623B2 JP2017210178A JP2017210178A JP7032623B2 JP 7032623 B2 JP7032623 B2 JP 7032623B2 JP 2017210178 A JP2017210178 A JP 2017210178A JP 2017210178 A JP2017210178 A JP 2017210178A JP 7032623 B2 JP7032623 B2 JP 7032623B2
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JP2019082883A5 (enExample
JP2019082883A (ja
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洋 桑島
正行 田中
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Denso Corp
National Institute of Advanced Industrial Science and Technology AIST
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National Institute of Advanced Industrial Science and Technology AIST
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
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    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
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    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/771—Feature selection, e.g. selecting representative features from a multi-dimensional feature space
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

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JP2017210178A 2017-10-31 2017-10-31 推論装置、推論方法及びプログラム Active JP7032623B2 (ja)

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JP2017210178A JP7032623B2 (ja) 2017-10-31 2017-10-31 推論装置、推論方法及びプログラム
PCT/JP2018/032689 WO2019087561A1 (ja) 2017-10-31 2018-09-04 推論装置、推論方法、プログラムおよび持続的有形コンピュータ読み取り媒体
DE112018005089.0T DE112018005089T5 (de) 2017-10-31 2018-09-04 Inferenzvorrichtung, Inferenzverfahren, Programm und nicht transitorisches greifbares computerlesbares Medium
US16/860,843 US11625561B2 (en) 2017-10-31 2020-04-28 Inference device, inference method, and non-transitory tangible computer-readable medium

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Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7119774B2 (ja) * 2018-08-28 2022-08-17 富士通株式会社 学習プログラム、画像分類プログラム、学習方法、画像分類方法、学習装置および画像分類装置
WO2020070876A1 (ja) * 2018-10-05 2020-04-09 日本電気株式会社 教師データ拡張装置、教師データ拡張方法およびプログラム
JP7493813B2 (ja) * 2019-07-26 2024-06-03 国立大学法人横浜国立大学 説明生成装置、説明生成方法およびプログラム
JP7161979B2 (ja) * 2019-07-26 2022-10-27 株式会社 日立産業制御ソリューションズ 説明支援装置、および、説明支援方法
JP7418171B2 (ja) * 2019-08-30 2024-01-19 キヤノン株式会社 画像処理装置、放射線撮影システム、画像処理方法及びプログラム
CN114586044A (zh) * 2019-11-08 2022-06-03 索尼集团公司 信息处理装置、信息处理方法及信息处理程序
JP2021105807A (ja) * 2019-12-26 2021-07-26 株式会社日立製作所 計算機システム及び業務システムの運用環境の解析方法
WO2021161896A1 (ja) * 2020-02-14 2021-08-19 ソニーグループ株式会社 情報処理装置、情報処理方法、プログラム
JP7256766B2 (ja) * 2020-03-04 2023-04-12 株式会社日立製作所 推測根拠分析装置及び推測根拠分析方法
JP7374829B2 (ja) * 2020-03-24 2023-11-07 株式会社東芝 ニューラルネット解析装置、ニューラルネット解析方法及びプログラム
FR3113155B1 (fr) 2020-07-28 2022-11-25 Adventive Procédé d’identification d’un implant dentaire visible sur une image d’entrée au moyen d’au moins un réseau de neurones à convolution.
JP6872214B1 (ja) 2020-08-20 2021-05-19 株式会社医療情報技術研究所 分類システム
JP7481956B2 (ja) * 2020-08-26 2024-05-13 株式会社東芝 推論装置、方法、プログラムおよび学習装置
CN116235201A (zh) 2020-09-25 2023-06-06 富士胶片株式会社 结构物的修复支持装置、方法及程序
JP7670066B2 (ja) * 2020-11-20 2025-04-30 日本電気株式会社 状態判定装置、状態判定システム、状態判定方法、及び、プログラム
JP7537242B2 (ja) * 2020-11-25 2024-08-21 セイコーエプソン株式会社 方法、装置、および、コンピュータープログラム
KR20220073464A (ko) * 2020-11-26 2022-06-03 삼성에스디에스 주식회사 설명 가능한 인공지능 제공 방법
US12579454B2 (en) * 2020-12-18 2026-03-17 International Business Machines Corporation Providing explainable machine learning model results using distributed ledgers
US12223432B2 (en) * 2020-12-23 2025-02-11 International Business Machines Corporation Using disentangled learning to train an interpretable deep learning model
JP7636060B2 (ja) * 2021-02-26 2025-02-26 日本電気通信システム株式会社 モデル学習装置、モデル学習方法、およびプログラム
JP7101349B1 (ja) 2021-05-28 2022-07-15 株式会社医療情報技術研究所 分類システム
US12229222B2 (en) * 2021-10-12 2025-02-18 International Business Machines Corporation Machine learning classifying of data using decision boundaries
JPWO2024135423A1 (enExample) * 2022-12-23 2024-06-27
WO2025210785A1 (ja) * 2024-04-03 2025-10-09 オリンパスメディカルシステムズ株式会社 説明支援装置、説明支援方法、説明支援用プログラム及び説明支援用プログラムを記録する非一時的記録媒体
WO2026004164A1 (ja) * 2024-06-28 2026-01-02 三菱電機株式会社 学習データ生成装置、学習装置、推論装置及び学習データ生成方法

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006043007A (ja) 2004-08-02 2006-02-16 Fujitsu Ltd 診断支援プログラムおよび診断支援装置
JP2016114592A (ja) 2014-12-12 2016-06-23 キヤノン株式会社 情報処理装置、情報処理方法、プログラム

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4624594B2 (ja) * 2000-06-28 2011-02-02 パナソニック株式会社 物体認識方法および物体認識装置
JP4247362B2 (ja) * 2002-04-15 2009-04-02 グローリー株式会社 特徴抽出装置
JP2005037992A (ja) * 2003-07-15 2005-02-10 Seiko Epson Corp 画像ファイルの分類
WO2012073421A1 (ja) * 2010-11-29 2012-06-07 パナソニック株式会社 画像分類装置、画像分類方法、プログラム、記録媒体、集積回路、モデル作成装置
CN105740842B (zh) * 2016-03-01 2018-10-19 浙江工业大学 基于快速密度聚类算法的无监督人脸识别方法
JP6750307B2 (ja) 2016-05-27 2020-09-02 三菱自動車工業株式会社 車外給電装置
JP6760490B2 (ja) * 2017-04-10 2020-09-23 富士通株式会社 認識装置、認識方法および認識プログラム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006043007A (ja) 2004-08-02 2006-02-16 Fujitsu Ltd 診断支援プログラムおよび診断支援装置
JP2016114592A (ja) 2014-12-12 2016-06-23 キヤノン株式会社 情報処理装置、情報処理方法、プログラム

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
RIBEIRO, Marco Tulio et al.，「"Why Should I Trust You?" Explaining the Predictions of Any Classifier」，arXiv.org [オンライン]，arXiv:1602.04938v3，米国，Cornell University，2016年08月，[2018年11月27日 検索], インターネット:<https://arxiv.org/pdf/1602.04938v3.pdf>
小林 雅幸 ほか，「進化的条件判断ネットワークの画像分類過程の可視化」，情報処理学会研究報告 数理モデル化と問題解決(MPS) [オンライン]，情報処理学会，2016年06月27日，第2016-MPS-108巻, 第1号，pp.1-7，[2018年11月27日 検索], インターネット:<https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=164474&file_id=1&file_no=1>，ISSN 2188-8833
崎津 実穂 ほか，「決定木および決定ネットワークによる画像分類過程の説明文の自動生成」，情報処理学会論文誌 数理モデル化と応用(TOM) [オンライン]，情報処理学会，2016年02月08日，第9巻, 第1号，pp.43-52，[2018年11月27日 検索], インターネット:<https://ipsj.ixsq.nii.ac.jp/ej/?action=repository_uri&item_id=147623&file_id=1&file_no=1>，ISSN 1882-7780

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WO2019087561A1 (ja) 2019-05-09
DE112018005089T5 (de) 2020-06-25
US11625561B2 (en) 2023-04-11
JP2019082883A (ja) 2019-05-30

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