CN107924491A - 未知类别的检测和用于未知类别的分类器的初始化 - Google Patents

未知类别的检测和用于未知类别的分类器的初始化 Download PDF

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CN107924491A
CN107924491A CN201680045335.2A CN201680045335A CN107924491A CN 107924491 A CN107924491 A CN 107924491A CN 201680045335 A CN201680045335 A CN 201680045335A CN 107924491 A CN107924491 A CN 107924491A
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S·马宗达
D·林
R·B·托瓦
A·莎拉
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Qualcomm Inc
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    • 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 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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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
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    • G06N3/09—Supervised learning
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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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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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
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    • 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 OR CALCULATING; 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
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    • G06N3/045—Combinations of networks

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CN201680045335.2A 2015-08-04 2016-07-20 未知类别的检测和用于未知类别的分类器的初始化 Pending CN107924491A (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201562201090P 2015-08-04 2015-08-04
US62/201,090 2015-08-04
US14/849,518 2015-09-09
US14/849,518 US20170039469A1 (en) 2015-08-04 2015-09-09 Detection of unknown classes and initialization of classifiers for unknown classes
PCT/US2016/043146 WO2017023551A2 (en) 2015-08-04 2016-07-20 Detection of unknown classes and initialization of classifiers for unknown classes

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EP (1) EP3332362B1 (https=)
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CN116997896A (zh) * 2021-03-23 2023-11-03 高通股份有限公司 用于恢复嵌入式系统上的顺序传感器数据的分类的状态变化检测

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CN110047506A (zh) * 2019-04-19 2019-07-23 杭州电子科技大学 一种基于卷积神经网络和多核学习svm的关键音频检测方法
CN110188197A (zh) * 2019-05-13 2019-08-30 北京一览群智数据科技有限责任公司 一种用于标注平台的主动学习方法及装置
CN113366493A (zh) * 2019-06-25 2021-09-07 松下知识产权经营株式会社 信息处理方法、以及信息处理系统
CN114730395A (zh) * 2019-11-19 2022-07-08 昭和电工株式会社 机器学习装置、方法、程序及系统
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CN116997896A (zh) * 2021-03-23 2023-11-03 高通股份有限公司 用于恢复嵌入式系统上的顺序传感器数据的分类的状态变化检测
CN114241526A (zh) * 2022-02-28 2022-03-25 南京甄视智能科技有限公司 分类模型、训练方法、分类方法、电子设备及存储介质

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JP2018528525A (ja) 2018-09-27
WO2017023551A3 (en) 2017-04-13
US20170039469A1 (en) 2017-02-09
KR102595399B1 (ko) 2023-10-27
EP3332362A2 (en) 2018-06-13
WO2017023551A2 (en) 2017-02-09
BR112018002248A2 (pt) 2018-09-18
JP6776331B2 (ja) 2020-10-28
EP3332362B1 (en) 2024-10-30
KR20180037192A (ko) 2018-04-11

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