IN2013MU01938A - - Google Patents
Info
- Publication number
- IN2013MU01938A IN2013MU01938A IN1938MU2013A IN2013MU01938A IN 2013MU01938 A IN2013MU01938 A IN 2013MU01938A IN 1938MU2013 A IN1938MU2013 A IN 1938MU2013A IN 2013MU01938 A IN2013MU01938 A IN 2013MU01938A
- Authority
- IN
- India
- Prior art keywords
- variation factor
- class variation
- amongst
- intra
- inter
- Prior art date
Links
Classifications
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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
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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
- A61B5/24—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]
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- 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
- G06F18/211—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; 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
- G06F18/211—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; CALCULATING OR 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)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/IB2014/000939 WO2014195782A2 (en) | 2013-06-03 | 2014-06-03 | Differential evolution-based feature selection |
IN1938MU2013 IN2013MU01938A (es) | 2013-06-03 | 2014-06-03 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IN1938MU2013 IN2013MU01938A (es) | 2013-06-03 | 2014-06-03 |
Publications (1)
Publication Number | Publication Date |
---|---|
IN2013MU01938A true IN2013MU01938A (es) | 2015-05-29 |
Family
ID=52008655
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
IN1938MU2013 IN2013MU01938A (es) | 2013-06-03 | 2014-06-03 |
Country Status (2)
Country | Link |
---|---|
IN (1) | IN2013MU01938A (es) |
WO (1) | WO2014195782A2 (es) |
Families Citing this family (7)
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 |
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 |
US10558933B2 (en) | 2016-03-30 | 2020-02-11 | International Business Machines Corporation | Merging feature subsets using graphical representation |
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 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6847737B1 (en) * | 1998-03-13 | 2005-01-25 | University Of Houston System | Methods for performing DAF data filtering and padding |
US7555153B2 (en) * | 2004-07-01 | 2009-06-30 | Arthrovision Inc. | Non-invasive joint evaluation |
US7647098B2 (en) * | 2005-10-31 | 2010-01-12 | 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 |
US8488863B2 (en) * | 2008-11-06 | 2013-07-16 | Los Alamos National Security, Llc | Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between healthy non-cancerous and cancerous cell nuclei and delineates nuclear, cytoplasm, and stromal material objects from stained biological tissue materials |
-
2014
- 2014-06-03 WO PCT/IB2014/000939 patent/WO2014195782A2/en active Application Filing
- 2014-06-03 IN IN1938MU2013 patent/IN2013MU01938A/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2014195782A2 (en) | 2014-12-11 |
WO2014195782A3 (en) | 2015-02-05 |
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