JP7007829B2 - 情報処理装置、情報処理方法及びプログラム - Google Patents
情報処理装置、情報処理方法及びプログラム Download PDFInfo
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- JP7007829B2 JP7007829B2 JP2017146800A JP2017146800A JP7007829B2 JP 7007829 B2 JP7007829 B2 JP 7007829B2 JP 2017146800 A JP2017146800 A JP 2017146800A JP 2017146800 A JP2017146800 A JP 2017146800A JP 7007829 B2 JP7007829 B2 JP 7007829B2
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- 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
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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
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06N3/084—Backpropagation, e.g. using gradient descent
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- 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
- G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
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- 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19147—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/1916—Validation; Performance evaluation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06V30/19173—Classification techniques
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2016153212 | 2016-08-03 | ||
| JP2016153212 | 2016-08-03 |
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| Publication Number | Publication Date |
|---|---|
| JP2018026122A JP2018026122A (ja) | 2018-02-15 |
| JP2018026122A5 JP2018026122A5 (enExample) | 2020-09-03 |
| JP7007829B2 true JP7007829B2 (ja) | 2022-01-25 |
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| Application Number | Title | Priority Date | Filing Date |
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| JP2017146800A Active JP7007829B2 (ja) | 2016-08-03 | 2017-07-28 | 情報処理装置、情報処理方法及びプログラム |
Country Status (2)
| Country | Link |
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| US (1) | US10706327B2 (enExample) |
| JP (1) | JP7007829B2 (enExample) |
Families Citing this family (15)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP6766839B2 (ja) * | 2018-03-14 | 2020-10-14 | オムロン株式会社 | 検査システム、画像識別システム、識別システム、識別器生成システム、及び学習データ生成装置 |
| JP2019212073A (ja) * | 2018-06-06 | 2019-12-12 | アズビル株式会社 | 画像判別装置および方法 |
| CN110581834A (zh) * | 2018-06-11 | 2019-12-17 | 中国移动通信集团浙江有限公司 | 一种通信能力开放异常检测方法和装置 |
| US11315021B2 (en) * | 2019-01-28 | 2022-04-26 | StradVision, Inc. | Method and device for on-device continual learning of a neural network which analyzes input data, and method and device for testing the neural network to be used for smartphones, drones, vessels, or military purpose |
| JP7364206B2 (ja) * | 2019-04-09 | 2023-10-18 | 日本電気株式会社 | 学習装置、学習方法、及び制御プログラム |
| CN110399897B (zh) * | 2019-04-10 | 2021-11-02 | 北京百卓网络技术有限公司 | 图像识别方法和装置 |
| WO2021039797A1 (ja) * | 2019-08-30 | 2021-03-04 | 株式会社Nttドコモ | クリック率予測モデル構築装置 |
| CN110619047B (zh) * | 2019-09-16 | 2022-09-02 | 出门问问信息科技有限公司 | 一种自然语言模型的构建方法、装置以及可读存储介质 |
| EP3798916A1 (en) * | 2019-09-24 | 2021-03-31 | Another Brain | Transformation of data samples to normal data |
| WO2021064856A1 (ja) * | 2019-10-01 | 2021-04-08 | 日本電気株式会社 | ロバスト学習装置、ロバスト学習方法、プログラム及び記憶装置 |
| CN114556334A (zh) * | 2019-10-15 | 2022-05-27 | 索尼集团公司 | 信息处理设备和信息处理方法 |
| US11068752B2 (en) | 2019-10-31 | 2021-07-20 | General Electric Company | Inspection systems and methods including image classification module |
| EP3869401A1 (en) * | 2020-02-21 | 2021-08-25 | Koninklijke Philips N.V. | Out-of-distribution detection of input instances to a model |
| KR102506815B1 (ko) * | 2020-11-19 | 2023-03-06 | 전남대학교산학협력단 | 생체정보처리 기술과 결합된 암호를 통한 사용자 검증 시스템 및 방법 |
| US20240311452A1 (en) * | 2022-03-18 | 2024-09-19 | Robert S. Buller, JR. | Systems and method to quantify personal identity confidence scores and authentication metrics in smartphone and iot device data |
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| JP2005258801A (ja) | 2004-03-11 | 2005-09-22 | Matsushita Electric Ind Co Ltd | 個人認証システム |
| JP2013182621A (ja) | 2012-02-29 | 2013-09-12 | Canon Inc | 分類器の学習方法及び装置、並びに処理装置 |
| JP2016004550A (ja) | 2014-06-19 | 2016-01-12 | ヤフー株式会社 | 生成装置、生成方法及び生成プログラム |
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| JP5335536B2 (ja) * | 2009-04-23 | 2013-11-06 | キヤノン株式会社 | 情報処理装置及び情報処理方法 |
| US9235799B2 (en) * | 2011-11-26 | 2016-01-12 | Microsoft Technology Licensing, Llc | Discriminative pretraining of deep neural networks |
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| JP6164899B2 (ja) | 2013-04-05 | 2017-07-19 | キヤノン株式会社 | ハッシュ値生成装置、システム、判定方法、プログラム、記憶媒体 |
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| US10540798B1 (en) * | 2019-01-10 | 2020-01-21 | Capital One Services, Llc | Methods and arrangements to create images |
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- 2017-07-28 JP JP2017146800A patent/JP7007829B2/ja active Active
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Also Published As
| Publication number | Publication date |
|---|---|
| US20180039861A1 (en) | 2018-02-08 |
| JP2018026122A (ja) | 2018-02-15 |
| US10706327B2 (en) | 2020-07-07 |
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