JP7445782B2 - 情報処理装置、情報処理方法、およびプログラム - Google Patents

情報処理装置、情報処理方法、およびプログラム Download PDF

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JP7445782B2
JP7445782B2 JP2022561532A JP2022561532A JP7445782B2 JP 7445782 B2 JP7445782 B2 JP 7445782B2 JP 2022561532 A JP2022561532 A JP 2022561532A JP 2022561532 A JP2022561532 A JP 2022561532A JP 7445782 B2 JP7445782 B2 JP 7445782B2
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learning
data elements
information processing
classification
training data
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ディネシュ ドルタニ
満 中澤
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Rakuten Group Inc
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/048Activation functions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/771Feature selection, e.g. selecting representative features from a multi-dimensional feature space
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/7715Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747Organisation of the process, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

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  • Engineering & Computer Science (AREA)
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  • Physics & Mathematics (AREA)
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  • Artificial Intelligence (AREA)
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  • Mathematical Physics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
JP2022561532A 2021-12-07 2021-12-07 情報処理装置、情報処理方法、およびプログラム Active JP7445782B2 (ja)

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JP7788115B1 (ja) 2024-07-08 2025-12-18 ソフトバンク株式会社 情報処理装置及び情報処理方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010231768A (ja) 2009-03-27 2010-10-14 Mitsubishi Electric Research Laboratories Inc マルチクラス分類器をトレーニングする方法
JP2018045483A (ja) 2016-09-15 2018-03-22 オムロン株式会社 識別情報付与システム、識別情報付与装置、識別情報付与方法及びプログラム
JP2021114097A (ja) 2020-01-17 2021-08-05 株式会社日立ソリューションズ・クリエイト 画像判定システム

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2010231768A (ja) 2009-03-27 2010-10-14 Mitsubishi Electric Research Laboratories Inc マルチクラス分類器をトレーニングする方法
JP2018045483A (ja) 2016-09-15 2018-03-22 オムロン株式会社 識別情報付与システム、識別情報付与装置、識別情報付与方法及びプログラム
JP2021114097A (ja) 2020-01-17 2021-08-05 株式会社日立ソリューションズ・クリエイト 画像判定システム

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
KUZBORSKIJ, Ilja et al.,"Transfer Learning through Greedy Subset Selection",arXiv [online],2014年08月06日,[2023年11月02日検索],インターネット<URL:https://arxiv.org/abs/1408.1292v1>,1408.1292v1
LIU, Yuanjun et al.,"Convolutional Network Model using Hierarchical Prediction and its Application in Clothing Image Classification",2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) [online],IEEE,2020年11月30日,p.157-160,[2023年11月02日検索],インターネット<URL:https://ieeexplore.ieee.org/document/9270217>
YAN, Zhicheng et al.,"HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition",arXiv [online],2015年05月,[2023年11月02日検索],インターネット<URL:https://arxiv.org/abs/1410.0736v4>,1410.0736v4

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JPWO2023105610A1 (https=) 2023-06-15
EP4216114A4 (en) 2024-02-14
EP4216114A1 (en) 2023-07-26
US12327403B2 (en) 2025-06-10
US20240135693A1 (en) 2024-04-25
WO2023105610A1 (ja) 2023-06-15

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