MA47466A - Procédé, appareil et serveur de sélection d'échantillons - Google Patents

Procédé, appareil et serveur de sélection d'échantillons

Info

Publication number
MA47466A
MA47466A MA047466A MA47466A MA47466A MA 47466 A MA47466 A MA 47466A MA 047466 A MA047466 A MA 047466A MA 47466 A MA47466 A MA 47466A MA 47466 A MA47466 A MA 47466A
Authority
MA
Morocco
Prior art keywords
server
selection process
sample selection
sample
selection
Prior art date
Application number
MA047466A
Other languages
English (en)
Inventor
Wei Chen
Nengneng Gao
Shengjun Huang
Di Wang
Kun Yuan
Original Assignee
Univ Nanjing Aeronautics & Astronautics
Tencent Tech Shenzhen Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Univ Nanjing Aeronautics & Astronautics, Tencent Tech Shenzhen Co Ltd filed Critical Univ Nanjing Aeronautics & Astronautics
Publication of MA47466A publication Critical patent/MA47466A/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/254—Fusion techniques of classification results, e.g. of results related to same input data
    • G06F18/256—Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • 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
    • G06V10/77—Processing 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
    • G06V10/772—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • 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
    • G06V10/77—Processing 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • 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
    • G06V10/77—Processing 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
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7788—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being a human, e.g. interactive learning with a human teacher
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • 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
    • G06V10/77—Processing 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
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • G06V10/811—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data the classifiers operating on different input data, e.g. multi-modal recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
MA047466A 2017-02-08 2018-02-02 Procédé, appareil et serveur de sélection d'échantillons MA47466A (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710069595.XA CN108399414B (zh) 2017-02-08 2017-02-08 应用于跨模态数据检索领域的样本选择方法及装置

Publications (1)

Publication Number Publication Date
MA47466A true MA47466A (fr) 2019-12-18

Family

ID=63094358

Family Applications (1)

Application Number Title Priority Date Filing Date
MA047466A MA47466A (fr) 2017-02-08 2018-02-02 Procédé, appareil et serveur de sélection d'échantillons

Country Status (5)

Country Link
US (1) US10885390B2 (fr)
EP (1) EP3582144A4 (fr)
CN (1) CN108399414B (fr)
MA (1) MA47466A (fr)
WO (1) WO2018145604A1 (fr)

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CN111353626B (zh) * 2018-12-21 2023-05-26 阿里巴巴集团控股有限公司 数据的审核方法、装置及设备
CN110472743A (zh) * 2019-07-31 2019-11-19 北京百度网讯科技有限公司 样本集中特征穿越的处理方法及装置、设备与可读介质
CN110533489B (zh) * 2019-09-05 2021-11-05 腾讯科技（深圳）有限公司 应用于模型训练的样本获取方法及装置、设备、存储介质
CN110543636B (zh) * 2019-09-06 2023-05-23 出门问问创新科技有限公司 一种对话***的训练数据选择方法
CN110738476B (zh) * 2019-09-24 2021-06-29 支付宝(杭州)信息技术有限公司 一种样本迁移方法、装置及设备
CN111027318B (zh) * 2019-10-12 2023-04-07 中国平安财产保险股份有限公司 基于大数据的行业分类方法、装置、设备及存储介质
CN110766080B (zh) * 2019-10-24 2022-03-08 腾讯医疗健康(深圳)有限公司 一种标注样本确定方法、装置、设备及存储介质
US10856191B1 (en) * 2019-11-08 2020-12-01 Nokia Technologies Oy User equipment configuration
CN111369979B (zh) * 2020-02-26 2023-12-19 广州市百果园信息技术有限公司 训练样本获取方法、装置、设备及计算机存储介质
CN111461191B (zh) * 2020-03-25 2024-01-23 杭州跨视科技有限公司 为模型训练确定图像样本集的方法、装置和电子设备
CN113449750A (zh) * 2020-03-26 2021-09-28 顺丰科技有限公司 模型训练方法、使用方法、相关装置及存储介质
CN111651660B (zh) * 2020-05-28 2023-05-02 拾音智能科技有限公司 一种跨媒体检索困难样本的方法
CN113807528A (zh) * 2020-06-16 2021-12-17 阿里巴巴集团控股有限公司 一种模型优化方法、设备及存储介质
CN112036491A (zh) * 2020-09-01 2020-12-04 北京推想科技有限公司 确定训练样本的方法及装置、训练深度学习模型的方法
CN112364999B (zh) * 2020-10-19 2021-11-19 深圳市超算科技开发有限公司 冷水机调节模型的训练方法、装置及电子设备
CN112308139B (zh) * 2020-10-29 2024-03-22 中科(厦门)数据智能研究院 一种基于主动学习的样本标注方法
CN112308170A (zh) * 2020-11-10 2021-02-02 维沃移动通信有限公司 建模方法、装置及电子设备
CN112861962B (zh) * 2021-02-03 2024-04-09 北京百度网讯科技有限公司 样本处理方法、装置、电子设备和存储介质
CN112559602B (zh) * 2021-02-21 2021-07-13 北京工业大数据创新中心有限公司 一种工业设备征兆的目标样本的确定方法及***
CN112990765B (zh) * 2021-04-16 2022-10-21 广东电网有限责任公司 一种电网调度操作票管理***
CN112990375B (zh) * 2021-04-29 2021-09-24 北京三快在线科技有限公司 一种模型训练方法、装置、存储介质及电子设备
CN116821724B (zh) * 2023-08-22 2023-12-12 腾讯科技（深圳）有限公司 多媒体处理网络生成方法、多媒体处理方法及装置

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US8171049B2 (en) * 2009-09-18 2012-05-01 Xerox Corporation System and method for information seeking in a multimedia collection
US8645287B2 (en) * 2010-02-04 2014-02-04 Microsoft Corporation Image tagging based upon cross domain context
CN102129477B (zh) * 2011-04-23 2013-01-09 山东大学 一种多模态联合的图像重排序方法
US8706729B2 (en) * 2011-10-12 2014-04-22 California Institute Of Technology Systems and methods for distributed data annotation
CN102663447B (zh) * 2012-04-28 2014-04-23 中国科学院自动化研究所 基于判别相关分析的跨媒体检索方法
CN103049526B (zh) * 2012-12-20 2015-08-05 中国科学院自动化研究所 基于双空间学习的跨媒体检索方法
US9922272B2 (en) * 2014-09-25 2018-03-20 Siemens Healthcare Gmbh Deep similarity learning for multimodal medical images
CN104317834B (zh) * 2014-10-10 2017-09-29 浙江大学 一种基于深度神经网络的跨媒体排序方法
CN104462380A (zh) * 2014-12-11 2015-03-25 北京中细软移动互联科技有限公司 商标检索方法
CN105701504B (zh) * 2016-01-08 2019-09-13 天津大学 用于零样本学习的多模态流形嵌入方法
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CN105930873B (zh) * 2016-04-27 2019-02-12 天津中科智能识别产业技术研究院有限公司 一种基于子空间的自步跨模态匹配方法
CN106095893B (zh) * 2016-06-06 2018-11-20 北京大学深圳研究生院 一种跨媒体检索方法

Also Published As

Publication number Publication date
CN108399414A (zh) 2018-08-14
US20190213447A1 (en) 2019-07-11
EP3582144A1 (fr) 2019-12-18
WO2018145604A1 (fr) 2018-08-16
EP3582144A4 (fr) 2021-01-06
CN108399414B (zh) 2021-06-01
US10885390B2 (en) 2021-01-05

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