DE112018005089T5 - Inferenzvorrichtung, Inferenzverfahren, Programm und nicht transitorisches greifbares computerlesbares Medium - Google Patents

Inferenzvorrichtung, Inferenzverfahren, Programm und nicht transitorisches greifbares computerlesbares Medium Download PDF

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DE112018005089T5
DE112018005089T5 DE112018005089.0T DE112018005089T DE112018005089T5 DE 112018005089 T5 DE112018005089 T5 DE 112018005089T5 DE 112018005089 T DE112018005089 T DE 112018005089T DE 112018005089 T5 DE112018005089 T5 DE 112018005089T5
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inference
feature
class
unit
features
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English (en)
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Hiroshi Kuwajima
Masayuki Tanaka
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Denso Corp
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Denso Corp
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/042—Knowledge-based neural networks; Logical representations of neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—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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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Multimedia (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Image Analysis (AREA)
DE112018005089.0T 2017-10-31 2018-09-04 Inferenzvorrichtung, Inferenzverfahren, Programm und nicht transitorisches greifbares computerlesbares Medium Pending DE112018005089T5 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2017210178A JP7032623B2 (ja) 2017-10-31 2017-10-31 推論装置、推論方法及びプログラム
JP2017-210178 2017-10-31
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

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DE112018005089T5 true DE112018005089T5 (de) 2020-06-25

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US (1) US11625561B2 (enExample)
JP (1) JP7032623B2 (enExample)
DE (1) DE112018005089T5 (enExample)
WO (1) WO2019087561A1 (enExample)

Cited By (1)

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FR3113155A1 (fr) * 2020-07-28 2022-02-04 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.

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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
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

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3113155A1 (fr) * 2020-07-28 2022-02-04 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.
US12062229B2 (en) 2020-07-28 2024-08-13 Adventive Identification process of a dental implant visible on an input image by means of at least one convolutional neural network

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US20200257925A1 (en) 2020-08-13
WO2019087561A1 (ja) 2019-05-09
US11625561B2 (en) 2023-04-11
JP2019082883A (ja) 2019-05-30

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