SG10201507049XA - Method and system for automatically assigning class labels to objects - Google Patents

Method and system for automatically assigning class labels to objects

Info

Publication number
SG10201507049XA
SG10201507049XA SG10201507049XA SG10201507049XA SG10201507049XA SG 10201507049X A SG10201507049X A SG 10201507049XA SG 10201507049X A SG10201507049X A SG 10201507049XA SG 10201507049X A SG10201507049X A SG 10201507049XA SG 10201507049X A SG10201507049X A SG 10201507049XA
Authority
SG
Singapore
Prior art keywords
objects
class labels
automatically assigning
assigning class
automatically
Prior art date
Application number
SG10201507049XA
Inventor
Jinmiao Chen
Original Assignee
Agency Science Tech & Res
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 Agency Science Tech & Res filed Critical Agency Science Tech & Res
Priority to SG10201507049XA priority Critical patent/SG10201507049XA/en
Publication of SG10201507049XA publication Critical patent/SG10201507049XA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2323—Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
SG10201507049XA 2014-09-10 2015-09-03 Method and system for automatically assigning class labels to objects SG10201507049XA (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
SG10201507049XA SG10201507049XA (en) 2014-09-10 2015-09-03 Method and system for automatically assigning class labels to objects

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SG10201405604S 2014-09-10
SG10201507049XA SG10201507049XA (en) 2014-09-10 2015-09-03 Method and system for automatically assigning class labels to objects

Publications (1)

Publication Number Publication Date
SG10201507049XA true SG10201507049XA (en) 2016-04-28

Family

ID=55437777

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201507049XA SG10201507049XA (en) 2014-09-10 2015-09-03 Method and system for automatically assigning class labels to objects

Country Status (2)

Country Link
US (1) US20160070950A1 (en)
SG (1) SG10201507049XA (en)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170154269A1 (en) * 2015-11-30 2017-06-01 Seematics Systems Ltd System and method for generating and using inference models
US11144842B2 (en) * 2016-01-20 2021-10-12 Robert Bosch Gmbh Model adaptation and online learning for unstable environments
EP3340107B9 (en) 2016-12-23 2021-07-21 Cytognos, S.L. Method of digital information classification
CN106971713B (en) * 2017-01-18 2020-01-07 北京华控智加科技有限公司 Speaker marking method and system based on density peak value clustering and variational Bayes
WO2018165530A1 (en) * 2017-03-09 2018-09-13 Cytovas Llc Method of constructing a reusable low-dimensionality map of high-dimensionality data
AU2018289410A1 (en) * 2017-06-19 2020-02-06 Invitae Corporation Interpretation of genetic and genomic variants via an integrated computational and experimental deep mutational learning framework
CN107705303A (en) * 2017-10-16 2018-02-16 长沙乐成医疗科技有限公司 The dividing method of blood vessel on a kind of medical image
CN107977955B (en) * 2017-11-01 2020-11-20 浙江农林大学 Method and system for determining cell adhesion condition based on hierarchical structure information
CN108198204B (en) * 2017-12-21 2021-11-23 东华大学 Zero-threshold nuclear density estimation moving target detection method
CN109840558B (en) * 2019-01-25 2022-06-17 南京航空航天大学 Self-adaptive clustering method based on density peak value-core fusion
CN109872317A (en) * 2019-02-22 2019-06-11 西南交通大学 A kind of defect identification method based on power equipments defect identification learning model
CN109995611B (en) * 2019-03-18 2021-06-25 新华三信息安全技术有限公司 Traffic classification model establishing and traffic classification method, device, equipment and server
CN110245717A (en) * 2019-06-20 2019-09-17 湖南大学 A kind of gene expression Spectral Clustering based on machine learning
CN111210004B (en) * 2019-12-31 2022-03-25 深圳云天励飞技术股份有限公司 Convolution calculation method, convolution calculation device and terminal equipment
JP7326179B2 (en) 2020-02-06 2023-08-15 株式会社国際電気通信基礎技術研究所 Communication situation estimation device, communication situation estimation method, and program

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6944338B2 (en) * 2000-05-11 2005-09-13 Becton Dickinson And Company System for identifying clusters in scatter plots using smoothed polygons with optimal boundaries
US8831327B2 (en) * 2011-08-30 2014-09-09 General Electric Company Systems and methods for tissue classification using attributes of a biomarker enhanced tissue network (BETN)
US9060685B2 (en) * 2012-03-26 2015-06-23 Nec Laboratories America, Inc. Whole tissue classifier for histology biopsy slides
US9430830B2 (en) * 2014-01-30 2016-08-30 Case Western Reserve University Spatially aware cell cluster (SPACCL) graphs

Also Published As

Publication number Publication date
US20160070950A1 (en) 2016-03-10

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