JP7368776B2 - 学習処理プログラム、情報処理装置及び学習処理方法 - Google Patents

学習処理プログラム、情報処理装置及び学習処理方法 Download PDF

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JP7368776B2
JP7368776B2 JP2022504775A JP2022504775A JP7368776B2 JP 7368776 B2 JP7368776 B2 JP 7368776B2 JP 2022504775 A JP2022504775 A JP 2022504775A JP 2022504775 A JP2022504775 A JP 2022504775A JP 7368776 B2 JP7368776 B2 JP 7368776B2
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健 小林
裕平 梅田
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Fujitsu Ltd
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    • 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
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2155—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the incorporation of unlabelled data, e.g. multiple instance learning [MIL], semi-supervised techniques using expectation-maximisation [EM] or naïve labelling
    • 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
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178—Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/40—Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
    • 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
    • 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
    • G06V10/77—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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7753—Incorporation of unlabelled data, e.g. multiple instance learning [MIL]
    • 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
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
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  • Computing Systems (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Mathematical Physics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2022504775A 2020-03-02 2020-03-02 学習処理プログラム、情報処理装置及び学習処理方法 Active JP7368776B2 (ja)

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PCT/JP2020/008681 WO2021176514A1 (ja) 2020-03-02 2020-03-02 学習処理プログラム、情報処理装置及び学習処理方法

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JPWO2021176514A1 JPWO2021176514A1 (https=) 2021-09-10
JPWO2021176514A5 JPWO2021176514A5 (https=) 2022-07-01
JP7368776B2 true JP7368776B2 (ja) 2023-10-25

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US (1) US12450309B2 (https=)
EP (1) EP4116892A4 (https=)
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WO (1) WO2021176514A1 (https=)

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2806374B1 (en) * 2013-05-24 2022-07-06 Tata Consultancy Services Limited Method and system for automatic selection of one or more image processing algorithm
JP5943358B2 (ja) * 2014-09-30 2016-07-05 インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ 学習装置、処理装置、予測システム、学習方法、処理方法、およびプログラム
KR101880901B1 (ko) * 2017-08-09 2018-07-23 펜타시큐리티시스템 주식회사 기계 학습 방법 및 장치
CN110633745B (zh) * 2017-12-12 2022-11-29 腾讯科技（深圳）有限公司 一种基于人工智能的图像分类训练方法、装置及存储介质
JP7040065B2 (ja) * 2018-01-31 2022-03-23 富士通株式会社 検出プログラム、検出方法および検出装置
CN111105008A (zh) * 2018-10-29 2020-05-05 富士通株式会社 模型训练方法、数据识别方法和数据识别装置
US11514329B2 (en) * 2019-03-27 2022-11-29 General Electric Company Data-driven deep learning model generalization analysis and improvement

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Tiago Pimentel et al.，A Generalized Active Learning Approach for Unsupervised Anomaly Detection，arxiv.org，2018年05月23日，https://arxiv.org/abs/1805.09411v1

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EP4116892A1 (en) 2023-01-11
US20220405526A1 (en) 2022-12-22
US12450309B2 (en) 2025-10-21
EP4116892A4 (en) 2023-03-29
WO2021176514A1 (ja) 2021-09-10
JPWO2021176514A1 (https=) 2021-09-10

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