CN113168589B - 数据生成装置、预测器学习装置、数据生成方法和学习方法 - Google Patents
数据生成装置、预测器学习装置、数据生成方法和学习方法 Download PDFInfo
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- CN113168589B CN113168589B CN201980078575.6A CN201980078575A CN113168589B CN 113168589 B CN113168589 B CN 113168589B CN 201980078575 A CN201980078575 A CN 201980078575A CN 113168589 B CN113168589 B CN 113168589B
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2019-002436 | 2019-01-10 | ||
| JP2019002436A JP7073286B2 (ja) | 2019-01-10 | 2019-01-10 | データ生成装置、予測器学習装置、データ生成方法、及び学習方法 |
| PCT/JP2019/049023 WO2020145039A1 (ja) | 2019-01-10 | 2019-12-13 | データ生成装置、予測器学習装置、データ生成方法、及び学習方法 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113168589A CN113168589A (zh) | 2021-07-23 |
| CN113168589B true CN113168589B (zh) | 2024-06-04 |
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ID=71521271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980078575.6A Active CN113168589B (zh) | 2019-01-10 | 2019-12-13 | 数据生成装置、预测器学习装置、数据生成方法和学习方法 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20220058485A1 (cg-RX-API-DMAC7.html) |
| JP (1) | JP7073286B2 (cg-RX-API-DMAC7.html) |
| CN (1) | CN113168589B (cg-RX-API-DMAC7.html) |
| WO (1) | WO2020145039A1 (cg-RX-API-DMAC7.html) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220108220A1 (en) * | 2020-10-02 | 2022-04-07 | Google Llc | Systems And Methods For Performing Automatic Label Smoothing Of Augmented Training Data |
| JP7561013B2 (ja) * | 2020-11-27 | 2024-10-03 | ロベルト・ボッシュ・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング | データ処理装置、ニューラルネットワークの深層学習の方法及びプログラム |
| JP7561014B2 (ja) * | 2020-11-27 | 2024-10-03 | ロベルト・ボッシュ・ゲゼルシャフト・ミト・ベシュレンクテル・ハフツング | データ処理装置、ニューラルネットワークの深層学習の方法及びプログラム |
| US11875270B2 (en) * | 2020-12-08 | 2024-01-16 | International Business Machines Corporation | Adversarial semi-supervised one-shot learning |
| JP7438932B2 (ja) * | 2020-12-25 | 2024-02-27 | 株式会社日立製作所 | 訓練データセット生成システム、訓練データセット生成方法、およびリペアリコメンドシステム |
| KR20220120052A (ko) * | 2021-02-22 | 2022-08-30 | 삼성전자주식회사 | 데이터를 생성하는 전자 장치 및 그 동작 방법 |
| US12121382B2 (en) * | 2022-03-09 | 2024-10-22 | GE Precision Healthcare LLC | X-ray tomosynthesis system providing neural-net guided resolution enhancement and thinner slice generation |
| CN114896024B (zh) * | 2022-03-28 | 2022-11-22 | 同方威视技术股份有限公司 | 基于核密度估计的虚拟机运行状态检测方法和装置 |
| WO2025238808A1 (ja) * | 2024-05-16 | 2025-11-20 | 株式会社日立ハイテク | 情報処理装置、および情報処理方法 |
Citations (4)
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| JP2009181508A (ja) * | 2008-01-31 | 2009-08-13 | Sharp Corp | 画像処理装置、検査システム、画像処理方法、画像処理プログラム、及び該プログラムを記録したコンピュータ読み取り可能な記録媒体 |
| CN107403446A (zh) * | 2016-05-18 | 2017-11-28 | 西门子保健有限责任公司 | 用于使用智能人工代理的图像配准的方法和系统 |
| CN108197700A (zh) * | 2018-01-12 | 2018-06-22 | 广州视声智能科技有限公司 | 一种生成式对抗网络建模方法及装置 |
| WO2019001418A1 (zh) * | 2017-06-26 | 2019-01-03 | 上海寒武纪信息科技有限公司 | 数据共享系统及其数据共享方法 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP6234060B2 (ja) * | 2013-05-09 | 2017-11-22 | 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 | ターゲットドメインの学習用音声データの生成方法、生成装置、および生成プログラム |
| US11676247B2 (en) * | 2017-07-31 | 2023-06-13 | Institut Pasteur | Method, device, and computer program for improving the reconstruction of dense super-resolution images from diffraction-limited images acquired by single molecule localization microscopy |
| US20200193223A1 (en) * | 2018-12-13 | 2020-06-18 | Diveplane Corporation | Synthetic Data Generation in Computer-Based Reasoning Systems |
| KR102790856B1 (ko) * | 2018-05-30 | 2025-04-07 | 카네기 멜론 유니버시티 | 강건한 자동화 학습 시스템을 생성하고 훈련된 자동화 학습 시스템을 시험하기 위한 방법, 장치 및 컴퓨터 프로그램 |
| US20200065664A1 (en) * | 2018-08-22 | 2020-02-27 | Fujitsu Limited | System and method of measuring the robustness of a deep neural network |
| US20200134494A1 (en) * | 2018-10-26 | 2020-04-30 | Uatc, Llc | Systems and Methods for Generating Artificial Scenarios for an Autonomous Vehicle |
| US11610098B2 (en) * | 2018-12-27 | 2023-03-21 | Paypal, Inc. | Data augmentation in transaction classification using a neural network |
-
2019
- 2019-01-10 JP JP2019002436A patent/JP7073286B2/ja active Active
- 2019-12-13 WO PCT/JP2019/049023 patent/WO2020145039A1/ja not_active Ceased
- 2019-12-13 US US17/414,705 patent/US20220058485A1/en not_active Abandoned
- 2019-12-13 CN CN201980078575.6A patent/CN113168589B/zh active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009181508A (ja) * | 2008-01-31 | 2009-08-13 | Sharp Corp | 画像処理装置、検査システム、画像処理方法、画像処理プログラム、及び該プログラムを記録したコンピュータ読み取り可能な記録媒体 |
| CN107403446A (zh) * | 2016-05-18 | 2017-11-28 | 西门子保健有限责任公司 | 用于使用智能人工代理的图像配准的方法和系统 |
| WO2019001418A1 (zh) * | 2017-06-26 | 2019-01-03 | 上海寒武纪信息科技有限公司 | 数据共享系统及其数据共享方法 |
| CN108197700A (zh) * | 2018-01-12 | 2018-06-22 | 广州视声智能科技有限公司 | 一种生成式对抗网络建模方法及装置 |
Non-Patent Citations (10)
| Title |
|---|
| Ape-gan: Adversarial perturbation elimination with gan;Shen S, et al;arxiv preprint arxiv:1707.05474;20170926;第1-14页 * |
| EEG data augmentation for emotion recognition using a conditional Wasserstein GAN;Luo Y, et al;2018 40th annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE;20181028;第2535-2538页 * |
| Improved techniques for training gans;Salimans T, et al;Advances in neural information processing systems;20160610;第1-10页 * |
| Lou H, et al.One-dimensional data augmentation using a Wasserstein generative adversarial network with supervised signal.2018 Chinese Control And Decision Conference (CCDC). IEEE.2018,第1896-1901页. * |
| Luo Y, et al.EEG data augmentation for emotion recognition using a conditional Wasserstein GAN.2018 40th annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE.2018,第2535-2538页. * |
| Petzka H, et al.On the regularization of wasserstein gans.arxiv preprint arxiv:1709.08894.2018,第1-24页. * |
| Salimans T, et al.Improved techniques for training gans.Advances in neural information processing systems.2016,第1-10页. * |
| Shen S, et al.Ape-gan: Adversarial perturbation elimination with gan.arxiv preprint arxiv:1707.05474.2017,第1-14页. * |
| 刘芳.基于深度学习的极化SAR图像分类和变化检测.西安电子科技大学.2018,第1-186页. * |
| 基于深度学习的极化SAR图像分类和变化检测;刘芳;西安电子科技大学;20181215;第1-186页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7073286B2 (ja) | 2022-05-23 |
| JP2020112967A (ja) | 2020-07-27 |
| CN113168589A (zh) | 2021-07-23 |
| WO2020145039A1 (ja) | 2020-07-16 |
| US20220058485A1 (en) | 2022-02-24 |
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