JP2020537787A5 - - Google Patents

Download PDF

Info

Publication number
JP2020537787A5
JP2020537787A5 JP2020521431A JP2020521431A JP2020537787A5 JP 2020537787 A5 JP2020537787 A5 JP 2020537787A5 JP 2020521431 A JP2020521431 A JP 2020521431A JP 2020521431 A JP2020521431 A JP 2020521431A JP 2020537787 A5 JP2020537787 A5 JP 2020537787A5
Authority
JP
Japan
Prior art keywords
neural network
similarity
determining
level
similarity index
Prior art date
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
Application number
JP2020521431A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020537787A (ja
JP7292270B2 (ja
Filing date
Publication date
Priority claimed from EP17290131.6A external-priority patent/EP3474192A1/en
Application filed filed Critical
Publication of JP2020537787A publication Critical patent/JP2020537787A/ja
Publication of JP2020537787A5 publication Critical patent/JP2020537787A5/ja
Application granted granted Critical
Publication of JP7292270B2 publication Critical patent/JP7292270B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2020521431A 2017-10-19 2018-10-16 ニューラルネットワークの使用 Active JP7292270B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP17290131.6 2017-10-19
EP17290131.6A EP3474192A1 (en) 2017-10-19 2017-10-19 Classifying data
PCT/EP2018/078191 WO2019076866A1 (en) 2017-10-19 2018-10-16 USE OF A NEURONAL NETWORK

Publications (3)

Publication Number Publication Date
JP2020537787A JP2020537787A (ja) 2020-12-24
JP2020537787A5 true JP2020537787A5 (enExample) 2021-11-25
JP7292270B2 JP7292270B2 (ja) 2023-06-16

Family

ID=60302021

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020521431A Active JP7292270B2 (ja) 2017-10-19 2018-10-16 ニューラルネットワークの使用

Country Status (5)

Country Link
US (1) US11468323B2 (enExample)
EP (2) EP3474192A1 (enExample)
JP (1) JP7292270B2 (enExample)
CN (1) CN111512322B (enExample)
WO (1) WO2019076866A1 (enExample)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102061408B1 (ko) * 2017-03-24 2019-12-31 (주)제이엘케이인스펙션 가상 3차원 심층 신경망을 이용하는 영상 분석 장치 및 방법
US20200125924A1 (en) * 2018-10-22 2020-04-23 Siemens Aktiengesellschaft Method and system for analyzing a neural network
US20220197691A1 (en) * 2019-04-09 2022-06-23 Sony Group Corporation Information processing apparatus, information processing method, and program
US11687730B1 (en) 2019-05-21 2023-06-27 Asapp, Inc. Automated conversation goal discovery using neural networks and deep multi-view clustering
DE102019209463A1 (de) * 2019-06-27 2020-12-31 Robert Bosch Gmbh Verfahren zur Bestimmung eines Vertrauenswertes eines Objektes einer Klasse
US11783201B2 (en) * 2020-01-23 2023-10-10 International Business Machines Corporation Neural flow attestation
JP7374829B2 (ja) * 2020-03-24 2023-11-07 株式会社東芝 ニューラルネット解析装置、ニューラルネット解析方法及びプログラム
CN111539947B (zh) * 2020-04-30 2024-03-29 上海商汤智能科技有限公司 图像检测方法及相关模型的训练方法和相关装置、设备
DE102020206059A1 (de) * 2020-05-13 2021-11-18 Siemens Healthcare Gmbh Computerimplementiertes Verfahren und System zum Trainieren eines Auswertungsalgorithmus, Computerprogramm und elektronisch lesbarer Datenträger
DE102020213830A1 (de) 2020-11-03 2022-05-05 Volkswagen Aktiengesellschaft Verfahren und System zur Bereitstellung einer Diagnoseinformation
KR102888785B1 (ko) 2020-12-24 2025-11-24 삼성디스플레이 주식회사 신경망 처리 장치
US11521639B1 (en) 2021-04-02 2022-12-06 Asapp, Inc. Speech sentiment analysis using a speech sentiment classifier pretrained with pseudo sentiment labels
US11763803B1 (en) 2021-07-28 2023-09-19 Asapp, Inc. System, method, and computer program for extracting utterances corresponding to a user problem statement in a conversation between a human agent and a user
US12067363B1 (en) 2022-02-24 2024-08-20 Asapp, Inc. System, method, and computer program for text sanitization
KR20240158983A (ko) * 2022-03-15 2024-11-05 바이엘 헬쓰케어 엘엘씨 인공 지능을 이용하여 자동화된 건강관리 데이터 애플리케이션들을 관리하기 위한 시스템, 방법 및 컴퓨터 프로그램 제품
CN115676547B (zh) * 2022-11-02 2025-08-01 太原科技大学 一种基于一维多尺度卷积的多传感器曳引机失磁监测方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04195249A (ja) * 1990-09-28 1992-07-15 Mazda Motor Corp 神経回路網装置
US5239594A (en) * 1991-02-12 1993-08-24 Mitsubishi Denki Kabushiki Kaisha Self-organizing pattern classification neural network system
JPH05165971A (ja) * 1991-12-18 1993-07-02 Hitachi Ltd ニューラルネットを用いたパターン認識の方法および装置
JP2000132554A (ja) 1998-10-21 2000-05-12 Sharp Corp 画像検索装置および画像検索方法
JP3675246B2 (ja) * 1999-08-13 2005-07-27 Kddi株式会社 正誤答判定機能を有するニューラルネットワーク手段
GB0209780D0 (en) * 2002-04-29 2002-06-05 Neural Technologies Ltd Method of encoding data for decoding data from and constraining a neural network
US7440930B1 (en) 2004-07-22 2008-10-21 Adobe Systems Incorporated Training an attentional cascade
US8234228B2 (en) * 2008-02-07 2012-07-31 Nec Laboratories America, Inc. Method for training a learning machine having a deep multi-layered network with labeled and unlabeled training data
US9542948B2 (en) * 2014-04-09 2017-01-10 Google Inc. Text-dependent speaker identification
WO2016039751A1 (en) * 2014-09-11 2016-03-17 Nuance Communications, Inc. Method for scoring in an automatic speech recognition system
WO2017151759A1 (en) * 2016-03-01 2017-09-08 The United States Of America, As Represented By The Secretary, Department Of Health And Human Services Category discovery and image auto-annotation via looped pseudo-task optimization
CN105976400B (zh) * 2016-05-10 2017-06-30 北京旷视科技有限公司 基于神经网络模型的目标跟踪方法及装置
JP2018060268A (ja) * 2016-10-03 2018-04-12 株式会社日立製作所 認識装置および学習システム
CN107168952B (zh) * 2017-05-15 2021-06-04 北京百度网讯科技有限公司 基于人工智能的信息生成方法和装置

Similar Documents

Publication Publication Date Title
JP2020537787A5 (enExample)
US10757125B2 (en) Anomaly detection method and recording medium
JP7292270B2 (ja) ニューラルネットワークの使用
CN110503155B (zh) 一种信息分类的方法及相关装置、服务器
JP2016517291A5 (enExample)
WO2023024407A1 (zh) 基于相邻卷积的模型剪枝方法、装置及存储介质
Lorena et al. Filter feature selection for one-class classification
US11887303B2 (en) Image processing model generation method, image processing method and device, and electronic device
CN110058699B (zh) 一种基于智能移动设备传感器的用户行为识别方法
CN109656366B (zh) 一种情感状态识别方法、装置、计算机设备及存储介质
US20190258962A1 (en) System and method for class specific deep learning
US20230047100A1 (en) Automated assessment of endoscopic disease
CN112732690B (zh) 一种用于慢病检测及风险评估的稳定系统及方法
JP6451583B2 (ja) 運転支援装置
CN110672323B (zh) 一种基于神经网络的轴承健康状态评估方法及装置
CN113366499A (zh) 将群体描述符与经训练模型相关联
CN109522970A (zh) 图像分类方法、装置及系统
CN112966818A (zh) 一种定向引导模型剪枝方法、系统、设备及存储介质
Potdar et al. A comparative study of machine learning algorithms applied to predictive breast cancer data
WO2021031817A1 (zh) 情绪识别方法、装置、计算机装置及存储介质
CN115251953A (zh) 运动想象脑电信号识别方法、装置、终端设备及存储介质
EP4328801A2 (en) Determination program, determination apparatus, and determination method
CN113299345A (zh) 病毒基因分类的方法、装置及电子设备
CN111612082A (zh) 检测时间序列中异常子序列的方法及设备
Sundar et al. Incapable of identifying suspicious records in CTG data using ANN based machine learning techniques