JP2020038704A5 - - Google Patents
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- JP2020038704A5 JP2020038704A5 JP2019203198A JP2019203198A JP2020038704A5 JP 2020038704 A5 JP2020038704 A5 JP 2020038704A5 JP 2019203198 A JP2019203198 A JP 2019203198A JP 2019203198 A JP2019203198 A JP 2019203198A JP 2020038704 A5 JP2020038704 A5 JP 2020038704A5
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- 239000011159 matrix material Substances 0.000 claims 32
- 238000000034 method Methods 0.000 claims 24
- 238000010606 normalization Methods 0.000 claims 6
- 238000003062 neural network model Methods 0.000 claims 5
- 230000003595 spectral effect Effects 0.000 claims 4
- 238000013528 artificial neural network Methods 0.000 claims 2
- 238000013527 convolutional neural network Methods 0.000 claims 2
- 238000011156 evaluation Methods 0.000 claims 2
- 238000001228 spectrum Methods 0.000 claims 1
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2022070856A JP7315748B2 (ja) | 2017-06-29 | 2022-04-22 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2017127769 | 2017-06-29 | ||
| JP2017127769 | 2017-06-29 |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019168670A Division JP6625785B1 (ja) | 2017-06-29 | 2019-09-17 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022070856A Division JP7315748B2 (ja) | 2017-06-29 | 2022-04-22 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020038704A JP2020038704A (ja) | 2020-03-12 |
| JP2020038704A5 true JP2020038704A5 (https=) | 2021-06-17 |
| JP7064479B2 JP7064479B2 (ja) | 2022-05-10 |
Family
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Family Applications (4)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019527020A Active JP6595151B2 (ja) | 2017-06-29 | 2018-06-28 | 訓練方法、訓練装置、プログラム及び非一時的コンピュータ可読媒体 |
| JP2019168670A Active JP6625785B1 (ja) | 2017-06-29 | 2019-09-17 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
| JP2019203198A Active JP7064479B2 (ja) | 2017-06-29 | 2019-11-08 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
| JP2022070856A Active JP7315748B2 (ja) | 2017-06-29 | 2022-04-22 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
Family Applications Before (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2019527020A Active JP6595151B2 (ja) | 2017-06-29 | 2018-06-28 | 訓練方法、訓練装置、プログラム及び非一時的コンピュータ可読媒体 |
| JP2019168670A Active JP6625785B1 (ja) | 2017-06-29 | 2019-09-17 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022070856A Active JP7315748B2 (ja) | 2017-06-29 | 2022-04-22 | データ識別器訓練方法、データ識別器訓練装置、プログラム及び訓練方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11593663B2 (https=) |
| EP (1) | EP3648017A4 (https=) |
| JP (4) | JP6595151B2 (https=) |
| CN (1) | CN110799995A (https=) |
| WO (1) | WO2019004350A1 (https=) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3648017A4 (en) | 2017-06-29 | 2021-08-04 | Preferred Networks, Inc. | DATA DISCRIMINATOR LEARNING PROCESS, DATA DISCRIMINATOR LEARNING DEVICE, PROGRAM, AND LEARNING PROCESS |
| JP7023669B2 (ja) | 2017-10-26 | 2022-02-22 | 株式会社Preferred Networks | 画像生成方法、画像生成装置、及び画像生成プログラム |
| US11556799B2 (en) * | 2018-01-02 | 2023-01-17 | Nokia Technologies Oy | Channel modelling in a data transmission system |
| US11797864B2 (en) * | 2018-06-18 | 2023-10-24 | Fotonation Limited | Systems and methods for conditional generative models |
| US20200143266A1 (en) * | 2018-11-07 | 2020-05-07 | International Business Machines Corporation | Adversarial balancing for causal inference |
| JP7198432B2 (ja) * | 2019-01-30 | 2023-01-04 | 京セラドキュメントソリューションズ株式会社 | 画像処理装置、画像読取装置、画像形成装置、画像処理方法及び画像処理プログラム |
| JP7370158B2 (ja) * | 2019-04-03 | 2023-10-27 | 株式会社Preferred Networks | 情報処理装置および情報処理方法 |
| JP2020196102A (ja) * | 2019-06-04 | 2020-12-10 | 株式会社Preferred Networks | 制御装置、システム、学習装置および制御方法 |
| CN110365647B (zh) * | 2019-06-13 | 2021-09-14 | 广东工业大学 | 一种基于pca和bp神经网络的虚假数据注入攻击检测方法 |
| CN114270371B (zh) * | 2019-08-30 | 2025-12-30 | 三星电子株式会社 | 用于将个性化人工智能模型应用于另一个模型的电子装置 |
| KR102788804B1 (ko) * | 2019-12-27 | 2025-03-31 | 삼성전자주식회사 | 전자 장치 및 그 제어 방법 |
| CN111461340B (zh) * | 2020-03-10 | 2023-03-31 | 北京百度网讯科技有限公司 | 权重矩阵的更新方法、装置及电子设备 |
| CN111553587B (zh) * | 2020-04-26 | 2023-04-18 | 中国电力科学研究院有限公司 | 一种基于对抗学习模型的新能源场景生成方法及系统 |
| CN111639861B (zh) * | 2020-06-01 | 2023-06-23 | 上海大学 | 一种基于神经网络的绩效考核方法及系统 |
| TWI768555B (zh) * | 2020-11-23 | 2022-06-21 | 威盛電子股份有限公司 | 調整神經網路輸入資料的系統及方法 |
| CN115374899A (zh) * | 2021-05-19 | 2022-11-22 | 富泰华工业(深圳)有限公司 | 生成对抗网络优化方法及电子设备 |
| WO2022251282A1 (en) * | 2021-05-25 | 2022-12-01 | Visa International Service Association | Method, system, and computer program product for normalizing embeddings for cross-embedding alignment |
| JP7487144B2 (ja) * | 2021-06-09 | 2024-05-20 | 株式会社東芝 | 情報処理装置、方法及びプログラム |
| CN113438190B (zh) * | 2021-06-22 | 2022-09-02 | 电子科技大学 | 神经网络训练方法及装置、mimo均衡器与方法、可读介质 |
| US20240119295A1 (en) * | 2021-11-02 | 2024-04-11 | Google Llc | Generalized Bags for Learning from Label Proportions |
| CN116109853A (zh) * | 2021-11-09 | 2023-05-12 | 广州视源电子科技股份有限公司 | 任务处理模型训练、任务处理方法、装置及设备 |
| CN113806338B (zh) * | 2021-11-18 | 2022-02-18 | 深圳索信达数据技术有限公司 | 一种基于数据样本图像化的数据甄别的方法与系统 |
| CN114463599B (zh) * | 2022-02-13 | 2025-03-25 | 北京师范大学 | 对抗生成网络快速训练方法、装置、设备和存储介质 |
| CN116011609A (zh) * | 2022-10-28 | 2023-04-25 | 支付宝(杭州)信息技术有限公司 | 训练时序预测模型、预测行为序列的方法和装置 |
| CN116090517B (zh) * | 2022-12-30 | 2026-02-24 | 杭州华橙软件技术有限公司 | 模型训练方法、目标检测方法、装置以及可读存储介质 |
| CN116302294B (zh) * | 2023-05-18 | 2023-09-01 | 安元科技股份有限公司 | 一种界面化自动识别组件属性的方法及系统 |
| CN118129088B (zh) * | 2024-03-13 | 2024-09-06 | 新疆维吾尔自治区特种设备检验研究院 | 一种基于人工智能的压力管道电磁超声检测方法 |
| CN118410341A (zh) * | 2024-05-14 | 2024-07-30 | 北京世纪好未来教育科技有限公司 | 错误检测模型的训练方法、错误检测方法、装置及设备 |
Family Cites Families (39)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1993010500A1 (en) * | 1991-11-13 | 1993-05-27 | Iowa State University Research Foundation, Inc. | Improved memory capacity neural network |
| US5479523A (en) * | 1994-03-16 | 1995-12-26 | Eastman Kodak Company | Constructing classification weights matrices for pattern recognition systems using reduced element feature subsets |
| US6987819B2 (en) * | 2000-12-29 | 2006-01-17 | Motorola, Inc. | Method and device for multiple input/multiple output transmit and receive weights for equal-rate data streams |
| JP4604545B2 (ja) * | 2004-05-10 | 2011-01-05 | ソニー株式会社 | 無線通信システム、無線通信装置及び無線通信方法ム |
| JP5248130B2 (ja) * | 2008-01-31 | 2013-07-31 | 株式会社東芝 | 無線送信方法及び装置 |
| JP5221285B2 (ja) * | 2008-11-05 | 2013-06-26 | 株式会社東芝 | 無線通信装置及び方法 |
| WO2010150313A1 (ja) * | 2009-06-25 | 2010-12-29 | 株式会社 東芝 | 通信装置 |
| US9189703B2 (en) * | 2012-07-09 | 2015-11-17 | Canon Kabushiki Kaisha | Systems and methods for colorimetric and spectral material estimation |
| US9400955B2 (en) * | 2013-12-13 | 2016-07-26 | Amazon Technologies, Inc. | Reducing dynamic range of low-rank decomposition matrices |
| US10515304B2 (en) * | 2015-04-28 | 2019-12-24 | Qualcomm Incorporated | Filter specificity as training criterion for neural networks |
| US10282663B2 (en) * | 2015-08-15 | 2019-05-07 | Salesforce.Com, Inc. | Three-dimensional (3D) convolution with 3D batch normalization |
| US10521718B1 (en) * | 2015-09-28 | 2019-12-31 | Google Llc | Adversarial training of neural networks |
| US11062206B2 (en) * | 2015-11-12 | 2021-07-13 | Deepmind Technologies Limited | Training neural networks using normalized target outputs |
| EP3385889A4 (en) | 2015-12-01 | 2019-07-10 | Preferred Networks, Inc. | ANOMALIC DETECTION SYSTEM, ANOMALY DETECTION METHOD, ANOMALIC DETECTION PROGRAM, AND METHOD OF GENERATING A LEARNED MODEL |
| US10776712B2 (en) | 2015-12-02 | 2020-09-15 | Preferred Networks, Inc. | Generative machine learning systems for drug design |
| EP3497624A1 (en) * | 2016-08-13 | 2019-06-19 | Intel Corporation | Apparatuses, methods, and systems for neural networks |
| CN107785016A (zh) * | 2016-08-31 | 2018-03-09 | 株式会社东芝 | 训练神经网络辅助模型的方法和装置及语音识别方法和装置 |
| US11164076B2 (en) * | 2016-10-20 | 2021-11-02 | Uber Technologies, Inc. | Intelligent regularization of neural network architectures |
| US10685285B2 (en) * | 2016-11-23 | 2020-06-16 | Microsoft Technology Licensing, Llc | Mirror deep neural networks that regularize to linear networks |
| US10685284B2 (en) * | 2017-04-03 | 2020-06-16 | Royal Bank Of Canada | Systems and methods for malicious code detection |
| EP3648017A4 (en) * | 2017-06-29 | 2021-08-04 | Preferred Networks, Inc. | DATA DISCRIMINATOR LEARNING PROCESS, DATA DISCRIMINATOR LEARNING DEVICE, PROGRAM, AND LEARNING PROCESS |
| WO2019092931A1 (ja) * | 2017-11-07 | 2019-05-16 | 日本電気株式会社 | 判別モデル生成装置、判別モデル生成方法および判別モデル生成プログラム |
| US10803347B2 (en) * | 2017-12-01 | 2020-10-13 | The University Of Chicago | Image transformation with a hybrid autoencoder and generative adversarial network machine learning architecture |
| US10846593B2 (en) * | 2018-04-27 | 2020-11-24 | Qualcomm Technologies Inc. | System and method for siamese instance search tracker with a recurrent neural network |
| US11170256B2 (en) * | 2018-09-26 | 2021-11-09 | Nec Corporation | Multi-scale text filter conditioned generative adversarial networks |
| US10997464B2 (en) * | 2018-11-09 | 2021-05-04 | Adobe Inc. | Digital image layout training using wireframe rendering within a generative adversarial network (GAN) system |
| CN112703513B (zh) * | 2019-03-04 | 2025-05-13 | 松下电器(美国)知识产权公司 | 信息处理方法及信息处理系统 |
| US12167100B2 (en) * | 2019-03-21 | 2024-12-10 | Samsung Electronics Co., Ltd. | Method, apparatus, device and medium for generating captioning information of multimedia data |
| US11164085B2 (en) * | 2019-04-25 | 2021-11-02 | Booz Allen Hamilton Inc. | System and method for training a neural network system |
| EP3973459B1 (en) * | 2019-05-23 | 2025-07-02 | DeepMind Technologies Limited | Generative adversarial networks with temporal and spatial discriminators for efficient video generation |
| JP7114528B2 (ja) * | 2019-07-08 | 2022-08-08 | 株式会社東芝 | 推論装置、学習装置、推論方法及び学習方法 |
| CN114270371B (zh) * | 2019-08-30 | 2025-12-30 | 三星电子株式会社 | 用于将个性化人工智能模型应用于另一个模型的电子装置 |
| JP7021158B2 (ja) * | 2019-09-04 | 2022-02-16 | 株式会社東芝 | ロボットシステムおよび駆動方法 |
| JP7051772B2 (ja) * | 2019-09-12 | 2022-04-11 | 株式会社東芝 | 提供装置、提供方法及びプログラム |
| CN110827216B (zh) * | 2019-10-23 | 2023-07-14 | 上海理工大学 | 图像去噪的多生成器生成对抗网络学习方法 |
| WO2021179189A1 (zh) * | 2020-03-11 | 2021-09-16 | 深圳先进技术研究院 | 大脑成瘾性状评估的可视化方法、装置及介质 |
| US11436498B2 (en) * | 2020-06-09 | 2022-09-06 | Toyota Research Institute, Inc. | Neural architecture search system for generating a neural network architecture |
| DE102021201833A1 (de) * | 2021-02-26 | 2022-09-01 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein | Vorrichtung zur Verarbeitung von mindestens einem Eingangsdatensatz unter Verwendung eines neuronalen Netzes sowie Verfahren |
| CN115049917B (zh) * | 2022-08-17 | 2022-11-15 | 上海与光彩芯科技有限公司 | 神经网络的训练方法、物体检测方法和智能终端设备 |
-
2018
- 2018-06-28 EP EP18824804.1A patent/EP3648017A4/en not_active Withdrawn
- 2018-06-28 JP JP2019527020A patent/JP6595151B2/ja active Active
- 2018-06-28 WO PCT/JP2018/024569 patent/WO2019004350A1/ja not_active Ceased
- 2018-06-28 CN CN201880043309.5A patent/CN110799995A/zh active Pending
-
2019
- 2019-09-17 JP JP2019168670A patent/JP6625785B1/ja active Active
- 2019-11-08 JP JP2019203198A patent/JP7064479B2/ja active Active
- 2019-12-23 US US16/726,153 patent/US11593663B2/en active Active
-
2022
- 2022-04-22 JP JP2022070856A patent/JP7315748B2/ja active Active
-
2023
- 2023-01-25 US US18/101,242 patent/US11842284B2/en active Active
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