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WO2014195782A3 - Sélection de caractéristique basée sur une évolution différentielle - Google Patents

Sélection de caractéristique basée sur une évolution différentielle Download PDF

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Publication number
WO2014195782A3
WO2014195782A3 PCT/IB2014/000939 IB2014000939W WO2014195782A3 WO 2014195782 A3 WO2014195782 A3 WO 2014195782A3 IB 2014000939 W IB2014000939 W IB 2014000939W WO 2014195782 A3 WO2014195782 A3 WO 2014195782A3
Authority
WO
WIPO (PCT)
Prior art keywords
variation factor
class variation
differential evolution
feature selection
amongst
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.)
Ceased
Application number
PCT/IB2014/000939
Other languages
English (en)
Other versions
WO2014195782A2 (fr
Inventor
Kingshuk CHAKRAVARTY
Diptesh DAS
Aniruddha Sinha
Amit Konar
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tata Consultancy Services Ltd
Original Assignee
Tata Consultancy Services 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 Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Publication of WO2014195782A2 publication Critical patent/WO2014195782A2/fr
Publication of WO2014195782A3 publication Critical patent/WO2014195782A3/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2111—Selection of the most significant subset of features by using evolutionary computational techniques, e.g. genetic algorithms
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2115—Selection of the most significant subset of features by evaluating different subsets according to an optimisation criterion, e.g. class separability, forward selection or backward elimination
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08—Feature extraction
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Veterinary Medicine (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Psychiatry (AREA)
  • Public Health (AREA)
  • Theoretical Computer Science (AREA)
  • Biophysics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Evolutionary Computation (AREA)
  • Physiology (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Psychology (AREA)
  • Computing Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

La présente invention concerne des systèmes et des procédés pour la sélection d'un sous-ensemble de caractéristiques optimales. Selon la présente invention, le système (102) met en œuvre le procédé décrit, le procédé consistant à obtenir une pluralité de caractéristiques extraites à partir d'ensembles de données associés à des objets représentant de multiples classes, à calculer un facteur de variation intra-classe et un facteur de variation inter-classes pour de multiples sous-ensembles de caractéristiques, parmi la pluralité de caractéristiques, et à identifier un sous-ensemble de caractéristiques optimales, parmi les multiples sous-ensembles de caractéristiques, sur la base d'une réduction au minimum du facteur de variation intra-classe et d'une maximisation du facteur de variation inter-classes à l'aide d'une évolution différentielle.
PCT/IB2014/000939 2013-06-03 2014-06-03 Sélection de caractéristique basée sur une évolution différentielle Ceased WO2014195782A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN1938/MUM/2013 2013-06-03
IN1938MU2013 IN2013MU01938A (fr) 2013-06-03 2014-06-03

Publications (2)

Publication Number Publication Date
WO2014195782A2 WO2014195782A2 (fr) 2014-12-11
WO2014195782A3 true WO2014195782A3 (fr) 2015-02-05

Family

ID=52008655

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2014/000939 Ceased WO2014195782A2 (fr) 2013-06-03 2014-06-03 Sélection de caractéristique basée sur une évolution différentielle

Country Status (2)

Country Link
IN (1) IN2013MU01938A (fr)
WO (1) WO2014195782A2 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105184803A (zh) * 2015-09-30 2015-12-23 西安电子科技大学 一种姿态测量方法和装置
US11574011B2 (en) 2016-03-30 2023-02-07 International Business Machines Corporation Merging feature subsets using graphical representation

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105137717B (zh) * 2015-08-05 2018-08-24 哈尔滨工业大学 基于Compact Differential Evolution算法的光刻机掩模台微动台的机械参数软测量方法
CN108573338A (zh) * 2018-03-14 2018-09-25 中山大学 一种基于mpi的分布式差分进化算法及装置
CN109636487B (zh) * 2019-01-14 2023-09-29 平安科技（深圳）有限公司 广告推送方法、服务器、计算机设备及存储介质
CN109885710B (zh) * 2019-01-14 2022-03-18 平安科技（深圳）有限公司 基于差分演化算法的用户画像刻画方法及服务器
CN111553530B (zh) * 2020-04-27 2022-08-02 华侨大学 一种城际网约车包车出行运力预测与出行推荐方法及系统
CN115272774A (zh) * 2022-09-01 2022-11-01 贵州大学 基于改进自适应差分进化算法的对抗样本攻击方法及系统
CN115660025B (zh) * 2022-10-25 2025-06-24 吉林大学 一种基于改进蜜獾算法的物联网设备识别特征提取与选择方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040071363A1 (en) * 1998-03-13 2004-04-15 Kouri Donald J. Methods for performing DAF data filtering and padding
US20080101705A1 (en) * 2006-10-31 2008-05-01 Motorola, Inc. System for pattern recognition with q-metrics
US20100094155A1 (en) * 2005-10-31 2010-04-15 New York University System and Method for Prediction of Cognitive Decline
US20100111396A1 (en) * 2008-11-06 2010-05-06 Los Alamos National Security Object and spatial level quantitative image analysis
US20100158334A1 (en) * 2004-07-01 2010-06-24 Johanne Martel-Pelletier Non-invasive joint evaluation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040071363A1 (en) * 1998-03-13 2004-04-15 Kouri Donald J. Methods for performing DAF data filtering and padding
US20100158334A1 (en) * 2004-07-01 2010-06-24 Johanne Martel-Pelletier Non-invasive joint evaluation
US20100094155A1 (en) * 2005-10-31 2010-04-15 New York University System and Method for Prediction of Cognitive Decline
US20080101705A1 (en) * 2006-10-31 2008-05-01 Motorola, Inc. System for pattern recognition with q-metrics
US20100111396A1 (en) * 2008-11-06 2010-05-06 Los Alamos National Security Object and spatial level quantitative image analysis

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105184803A (zh) * 2015-09-30 2015-12-23 西安电子科技大学 一种姿态测量方法和装置
US11574011B2 (en) 2016-03-30 2023-02-07 International Business Machines Corporation Merging feature subsets using graphical representation

Also Published As

Publication number Publication date
IN2013MU01938A (fr) 2015-05-29
WO2014195782A2 (fr) 2014-12-11

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