BR112017017079A2 - aparelho para classificação robusta, método realizado por um processador, e, mídia não transitória legível por computador - Google Patents
aparelho para classificação robusta, método realizado por um processador, e, mídia não transitória legível por computadorInfo
- Publication number
- BR112017017079A2 BR112017017079A2 BR112017017079-5A BR112017017079A BR112017017079A2 BR 112017017079 A2 BR112017017079 A2 BR 112017017079A2 BR 112017017079 A BR112017017079 A BR 112017017079A BR 112017017079 A2 BR112017017079 A2 BR 112017017079A2
- Authority
- BR
- Brazil
- Prior art keywords
- processor
- computer readable
- based method
- readable non
- classification apparatus
- Prior art date
Links
Classifications
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- 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
- A61B5/7235—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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- 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)
- Pathology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Heart & Thoracic Surgery (AREA)
- Biophysics (AREA)
- Physiology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Psychiatry (AREA)
- 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)
- Operations Research (AREA)
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 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| BR112017017079A2 true BR112017017079A2 (pt) | 2018-04-10 |
Family
ID=55398344
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| BR112017017079-5A BR112017017079A2 (pt) | 2015-02-12 | 2016-02-05 | aparelho para classificação robusta, método realizado por um processador, e, mídia não transitória legível por computador |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US10929774B2 (enExample) |
| EP (1) | EP3256956A1 (enExample) |
| JP (1) | JP6770521B2 (enExample) |
| CN (1) | CN107249434B (enExample) |
| BR (1) | BR112017017079A2 (enExample) |
| RU (1) | RU2720448C2 (enExample) |
| WO (1) | WO2016128866A1 (enExample) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Family Cites Families (36)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2661265B1 (fr) * | 1990-04-24 | 1994-07-29 | Thomson Csf | Systeme neuronal de classification et procede de classification utilisant un tel systeme. |
| 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 |
| JP3351639B2 (ja) * | 1993-10-18 | 2002-12-03 | グローリー工業株式会社 | 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 |
| US5835902A (en) * | 1994-11-02 | 1998-11-10 | Jannarone; Robert J. | Concurrent learning and performance information processing system |
| US6192360B1 (en) * | 1998-06-23 | 2001-02-20 | Microsoft Corporation | Methods and apparatus for classifying text and for building a text classifier |
| US7024033B2 (en) * | 2001-12-08 | 2006-04-04 | Microsoft Corp. | Method for boosting the performance of machine-learning classifiers |
| US7458936B2 (en) * | 2003-03-12 | 2008-12-02 | Siemens Medical Solutions Usa, Inc. | System and method for performing probabilistic classification and decision support using multidimensional medical image databases |
| US7536044B2 (en) * | 2003-11-19 | 2009-05-19 | Siemens Medical Solutions Usa, Inc. | System and method for detecting and matching anatomical structures using appearance and shape |
| US7742641B2 (en) | 2004-12-06 | 2010-06-22 | Honda Motor Co., Ltd. | Confidence weighted classifier combination for multi-modal identification |
| US7650321B2 (en) * | 2005-02-16 | 2010-01-19 | Siemens Medical Solutions Usa, Inc. | Two classifier based system for classifying anomalous medical patient records |
| 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 |
| CN100363938C (zh) * | 2005-10-31 | 2008-01-23 | 浙江大学 | 基于得分差加权融合的多模态身份识别方法 |
| CN102016881B (zh) * | 2008-04-25 | 2013-06-12 | 皇家飞利浦电子股份有限公司 | 样本数据的分类 |
| WO2010030794A1 (en) * | 2008-09-10 | 2010-03-18 | Digital Infuzion, Inc. | Machine learning methods and systems for identifying patterns in data |
| KR100982612B1 (ko) | 2009-09-09 | 2010-09-15 | 박효남 | 정밀 약액 주입량 조절장치 |
| CN101777125B (zh) * | 2010-02-03 | 2012-01-11 | 武汉大学 | 一种高分辨率遥感图像复杂类别的监督分类方法 |
| WO2012107786A1 (en) * | 2011-02-09 | 2012-08-16 | Rudjer Boskovic Institute | System and method for blind extraction of features from measurement data |
| CN102750286B (zh) * | 2011-04-21 | 2016-01-20 | 常州蓝城信息科技有限公司 | 一种处理缺失数据的新型决策树分类器方法 |
| CN102254180B (zh) * | 2011-06-28 | 2014-07-09 | 北京交通大学 | 一种基于几何特征的人脸美感分析方法 |
| CN102955946A (zh) * | 2011-08-18 | 2013-03-06 | 刘军 | 基于线性分类树和神经网络的两阶段快速分类器 |
| US9141622B1 (en) * | 2011-09-16 | 2015-09-22 | Google Inc. | Feature weight training techniques |
| WO2013067513A1 (en) * | 2011-11-04 | 2013-05-10 | Massachusetts Eye & Ear Infirmary | Contextual image stabilization |
| JP5865053B2 (ja) | 2011-12-15 | 2016-02-17 | キヤノン株式会社 | 座標入力装置、座標入力装置の制御方法、およびプログラム |
| WO2013122009A1 (ja) * | 2012-02-16 | 2013-08-22 | 日本電気株式会社 | 信頼度取得装置、信頼度取得方法および信頼度取得プログラム |
| US9249287B2 (en) * | 2012-02-24 | 2016-02-02 | Nec Corporation | Document evaluation apparatus, document evaluation method, and computer-readable recording medium using missing patterns |
| EP2850550B1 (en) * | 2012-05-18 | 2018-08-01 | Koninklijke Philips N.V. | Method of rendering hemodynamic instability index indicator information |
| CN102819745B (zh) | 2012-07-04 | 2014-11-05 | 杭州电子科技大学 | 一种基于AdaBoost的高光谱遥感影像分类方法 |
| WO2014033681A2 (en) * | 2012-08-31 | 2014-03-06 | Koninklijke Philips N.V. | Modeling techniques for predicting mortality in intensive care units |
| CN102945255B (zh) * | 2012-10-18 | 2016-06-22 | 浙江大学 | 跨媒体多视角非完美标签学习方法 |
| CN105530857B (zh) * | 2013-09-09 | 2019-05-10 | 皇家飞利浦有限公司 | 根据母体腹部ecg记录的胎儿心率提取 |
| CN103761531B (zh) * | 2014-01-20 | 2016-04-06 | 西安理工大学 | 基于形状轮廓特征的稀疏编码车牌字符识别方法 |
| CN104035779A (zh) * | 2014-06-25 | 2014-09-10 | 中国科学院软件研究所 | 一种数据流决策树分类中的缺失值处理方法 |
| CN107106024B (zh) * | 2014-11-20 | 2020-11-20 | 皇家飞利浦有限公司 | 用于在生命体征采样频率有限时的分数置信度区间估计的方法 |
| 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 |
-
2016
- 2016-02-05 JP JP2017540869A patent/JP6770521B2/ja active Active
- 2016-02-05 WO PCT/IB2016/050592 patent/WO2016128866A1/en not_active Ceased
- 2016-02-05 CN CN201680009843.5A patent/CN107249434B/zh active Active
- 2016-02-05 BR BR112017017079-5A patent/BR112017017079A2/pt not_active Application Discontinuation
- 2016-02-05 RU RU2017131909A patent/RU2720448C2/ru active
- 2016-02-05 US US15/549,714 patent/US10929774B2/en active Active
- 2016-02-05 EP EP16705299.2A patent/EP3256956A1/en not_active Withdrawn
Also Published As
| 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 |
| CN107249434B (zh) | 2020-12-18 |
| US10929774B2 (en) | 2021-02-23 |
| WO2016128866A1 (en) | 2016-08-18 |
| JP6770521B2 (ja) | 2020-10-14 |
| CN107249434A (zh) | 2017-10-13 |
| RU2017131909A (ru) | 2019-03-12 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| B06U | Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette] | ||
| B11B | Dismissal acc. art. 36, par 1 of ipl - no reply within 90 days to fullfil the necessary requirements |