JPWO2021176514A1 - - Google Patents
Info
- Publication number
- JPWO2021176514A1 JPWO2021176514A1 JP2022504775A JP2022504775A JPWO2021176514A1 JP WO2021176514 A1 JPWO2021176514 A1 JP WO2021176514A1 JP 2022504775 A JP2022504775 A JP 2022504775A JP 2022504775 A JP2022504775 A JP 2022504775A JP WO2021176514 A1 JPWO2021176514 A1 JP WO2021176514A1
- Authority
- JP
- Japan
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
Landscapes
- 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)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- 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)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| 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 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021176514A1 true JPWO2021176514A1 (https=) | 2021-09-10 |
| JPWO2021176514A5 JPWO2021176514A5 (https=) | 2022-07-01 |
| JP7368776B2 JP7368776B2 (ja) | 2023-10-25 |
Family
ID=77613946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022504775A Active JP7368776B2 (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 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US12450309B2 (https=) |
| EP (1) | EP4116892A4 (https=) |
| JP (1) | JP7368776B2 (https=) |
| WO (1) | WO2021176514A1 (https=) |
Family Cites Families (7)
| 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 |
-
2020
- 2020-03-02 JP JP2022504775A patent/JP7368776B2/ja active Active
- 2020-03-02 EP EP20923361.8A patent/EP4116892A4/en active Pending
- 2020-03-02 WO PCT/JP2020/008681 patent/WO2021176514A1/ja not_active Ceased
-
2022
- 2022-08-25 US US17/895,121 patent/US12450309B2/en active Active
Non-Patent Citations (1)
| Title |
|---|
| TIAGO PIMENTEL ET AL.: "A Generalized Active Learning Approach for Unsupervised Anomaly Detection", ARXIV.ORG, JPN6023014526, 23 May 2018 (2018-05-23), ISSN: 0005039749 * |
Also Published As
| Publication number | Publication date |
|---|---|
| EP4116892A1 (en) | 2023-01-11 |
| US20220405526A1 (en) | 2022-12-22 |
| JP7368776B2 (ja) | 2023-10-25 |
| US12450309B2 (en) | 2025-10-21 |
| EP4116892A4 (en) | 2023-03-29 |
| WO2021176514A1 (ja) | 2021-09-10 |
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