CN107249434B - 鲁棒分类器 - Google Patents

鲁棒分类器 Download PDF

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CN107249434B
CN107249434B CN201680009843.5A CN201680009843A CN107249434B CN 107249434 B CN107249434 B CN 107249434B CN 201680009843 A CN201680009843 A CN 201680009843A CN 107249434 B CN107249434 B CN 107249434B
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CN107249434A (zh
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B·康罗伊
L·J·埃谢曼
C·波特斯
M·徐
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Koninklijke Philips NV
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/02028—Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28—Databases characterised by their database models, e.g. relational or object models
    • G06F16/284—Relational databases
    • G06F16/285—Clustering or classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/06—Arrangements for sorting, selecting, merging, or comparing data on individual record carriers
    • G06F7/08—Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2505/00—Evaluating, monitoring or diagnosing in the context of a particular type of medical care
    • A61B2505/03—Intensive care

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  • Physics & Mathematics (AREA)
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  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
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  • Heart & Thoracic Surgery (AREA)
  • Biophysics (AREA)
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  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
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  • Signal Processing (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computing Systems (AREA)
  • Cardiology (AREA)
  • Fuzzy Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Algebra (AREA)
  • Bioinformatics & Cheminformatics (AREA)
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CN201680009843.5A 2015-02-12 2016-02-05 鲁棒分类器 Active CN107249434B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562115330P 2015-02-12 2015-02-12
US62/115,330 2015-02-12
PCT/IB2016/050592 WO2016128866A1 (en) 2015-02-12 2016-02-05 Robust classifier

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CN107249434B true CN107249434B (zh) 2020-12-18

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EP (1) EP3256956A1 (enExample)
JP (1) JP6770521B2 (enExample)
CN (1) CN107249434B (enExample)
BR (1) BR112017017079A2 (enExample)
RU (1) RU2720448C2 (enExample)
WO (1) WO2016128866A1 (enExample)

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JP6770521B2 (ja) * 2015-02-12 2020-10-14 コーニンクレッカ フィリップス エヌ ヴェＫｏｎｉｎｋｌｉｊｋｅ Ｐｈｉｌｉｐｓ Ｎ．Ｖ． 堅牢な分類器
US10528889B2 (en) * 2016-03-25 2020-01-07 Futurewei Technologies, Inc. Stereoscopic learning for classification
US10796793B2 (en) * 2017-08-09 2020-10-06 Varian Medical Systems International Ag Aggregation of artificial intelligence (AI) engines
EP3514908B1 (en) * 2018-01-22 2022-02-09 Hitachi Energy Switzerland AG Methods and devices for condition classification of power network assets
WO2020040253A1 (ja) * 2018-08-24 2020-02-27 株式会社Ｎｔｔドコモ 予測解釈装置、及び予測解釈方法
KR102811789B1 (ko) 2018-09-19 2025-05-27 엘지전자 주식회사 인공지능 장치
EP3690760B1 (en) * 2019-02-04 2022-10-26 Robert Bosch GmbH Device and method to improve the robustness against adversarial examples
JP7708769B2 (ja) * 2020-01-10 2025-07-15 プレノシス，インコーポレイテッド ストリーミングデータ環境のための時間依存トリガ
CN115279260A (zh) * 2020-03-10 2022-11-01 皇家飞利浦有限公司 基于波形的血流动力学不稳定警告
JP7564935B2 (ja) * 2020-07-16 2024-10-09 コーニンクレッカ フィリップス エヌ ヴェ 超音波データプロセッサ
JP7504783B2 (ja) * 2020-12-09 2024-06-24 株式会社日立製作所 予測器作成装置、および予測器作成方法

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JPH0454685A (ja) * 1990-06-22 1992-02-21 Kobe Steel Ltd 状熊学習装置及び状態推定装置
JP2758260B2 (ja) * 1990-10-04 1998-05-28 株式会社東芝 欠陥検査装置
JPH07220087A (ja) * 1993-10-18 1995-08-18 Glory Ltd ランダムマスク方式による紙葉類のニューロ識別／正損分離装置
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JP2002519766A (ja) * 1998-06-23 2002-07-02 マイクロソフト コーポレイション テキストの分類およびテキスト分類器を構築するための方法ならびに装置
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WO2007000030A1 (en) * 2005-06-29 2007-01-04 National Ict Australia Limited Measuring cognitive load
JP2007025978A (ja) * 2005-07-14 2007-02-01 Mitsubishi Electric Corp 類別装置
CN1758263A (zh) * 2005-10-31 2006-04-12 浙江大学 基于得分差加权融合的多模态身份识别方法
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Publication number Publication date
US20180046942A1 (en) 2018-02-15
JP2018512086A (ja) 2018-05-10
EP3256956A1 (en) 2017-12-20
RU2720448C2 (ru) 2020-04-29
RU2017131909A3 (enExample) 2019-09-27
US10929774B2 (en) 2021-02-23
WO2016128866A1 (en) 2016-08-18
BR112017017079A2 (pt) 2018-04-10
JP6770521B2 (ja) 2020-10-14
CN107249434A (zh) 2017-10-13
RU2017131909A (ru) 2019-03-12

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