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Latent Factor Analysis of High-Dimensional Brain Imaging Data
Latent Factor Analysis of High-Dimensional Brain Imaging Data
Latent Factor Analysis of High-Dimensional Brain Imaging Data

Detailed Information

자료유형  
 학위논문파일 국외
ISBN  
9798534651423
DDC  
616
저자명  
Gao, Siyuan.
서명/저자  
Latent Factor Analysis of High-Dimensional Brain Imaging Data
발행사항  
[Sl] : Yale University, 2021
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2021
형태사항  
115 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
주기사항  
Advisor: Scheinost, Dustin.
학위논문주기  
Thesis (Ph.D.)--Yale University, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Neurosciences
일반주제명  
Mathematics
일반주제명  
Computer science
일반주제명  
Medical imaging
일반주제명  
Behavior
일반주제명  
Accuracy
일반주제명  
Principal components analysis
일반주제명  
Datasets
일반주제명  
Memory
일반주제명  
Brain research
일반주제명  
Flexibility
일반주제명  
Methods
일반주제명  
Correlation analysis
일반주제명  
Algorithms
일반주제명  
Clustering
일반주제명  
Time series
일반주제명  
Intelligence
키워드  
Functional magnetic resonance imaging
키워드  
Functional connectivity
키워드  
Low-dimensional representation
키워드  
Prediction
기타저자  
Yale University Biomedical Engineering
기본자료저록  
Dissertations Abstracts International. 83-02B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■035    ▼a(MiAaPQ)AAI28319254
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a616
■1001  ▼aGao,  Siyuan.
■24510▼aLatent  Factor  Analysis  of  High-Dimensional  Brain  Imaging  Data
■260    ▼a[Sl]▼bYale  University▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a115  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-02,  Section:  B.
■500    ▼aAdvisor:  Scheinost,  Dustin.
■5021  ▼aThesis  (Ph.D.)--Yale  University,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0265.
■650  4▼aNeurosciences
■650  4▼aMathematics
■650  4▼aComputer  science
■650  4▼aMedical  imaging
■650  4▼aBehavior
■650  4▼aAccuracy
■650  4▼aPrincipal  components  analysis
■650  4▼aDatasets
■650  4▼aMemory
■650  4▼aBrain  research
■650  4▼aFlexibility
■650  4▼aMethods
■650  4▼aCorrelation  analysis
■650  4▼aAlgorithms
■650  4▼aClustering
■650  4▼aTime  series
■650  4▼aIntelligence
■653    ▼aFunctional  magnetic  resonance  imaging
■653    ▼aFunctional  connectivity
■653    ▼aLow-dimensional  representation
■653    ▼aPrediction
■690    ▼a0317
■690    ▼a0405
■690    ▼a0984
■690    ▼a0574
■71020▼aYale  University▼bBiomedical  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g83-02B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0265
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16051247▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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