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Biologically-Aware Algorithms for Connectomics
Biologically-Aware Algorithms for Connectomics
Biologically-Aware Algorithms for Connectomics

Detailed Information

자료유형  
 학위논문파일 국외
ISBN  
9798534670813
DDC  
004
저자명  
Matejek, Brian P.
서명/저자  
Biologically-Aware Algorithms for Connectomics
발행사항  
[Sl] : Harvard University, 2021
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2021
형태사항  
145 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
주기사항  
Advisor: Pfister, Hanspeter.
학위논문주기  
Thesis (Ph.D.)--Harvard University, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Computer science
일반주제명  
Neurosciences
일반주제명  
Biomedical engineering
일반주제명  
Neurons
일반주제명  
Mammals
일반주제명  
Accuracy
일반주제명  
Deep learning
일반주제명  
Datasets
일반주제명  
Collaboration
일반주제명  
Error correction & detection
일반주제명  
Optimization techniques
일반주제명  
Brain research
일반주제명  
Neural networks
일반주제명  
Dissertations & theses
일반주제명  
Mitochondria
일반주제명  
Registration
일반주제명  
Algorithms
키워드  
Compression
키워드  
Computer vision
키워드  
Connectomics
키워드  
Motif discovery
키워드  
Topological thinning
기타저자  
Harvard University Engineering and Applied Sciences - Computer Science
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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■020    ▼a9798534670813
■035    ▼a(MiAaPQ)AAI28499486
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a004
■1001  ▼aMatejek,  Brian  P.▼0(orcid)0000-0002-3517-9229
■24510▼aBiologically-Aware  Algorithms  for  Connectomics
■260    ▼a[Sl]▼bHarvard  University▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a145  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-02,  Section:  B.
■500    ▼aAdvisor:  Pfister,  Hanspeter.
■5021  ▼aThesis  (Ph.D.)--Harvard  University,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0084.
■650  4▼aComputer  science
■650  4▼aNeurosciences
■650  4▼aBiomedical  engineering
■650  4▼aNeurons
■650  4▼aMammals
■650  4▼aAccuracy
■650  4▼aDeep  learning
■650  4▼aDatasets
■650  4▼aCollaboration
■650  4▼aError  correction  &  detection
■650  4▼aOptimization  techniques
■650  4▼aBrain  research
■650  4▼aNeural  networks
■650  4▼aDissertations  &  theses
■650  4▼aMitochondria
■650  4▼aRegistration
■650  4▼aAlgorithms
■653    ▼aCompression
■653    ▼aComputer  vision
■653    ▼aConnectomics
■653    ▼aMotif  discovery
■653    ▼aTopological  thinning
■690    ▼a0984
■690    ▼a0317
■690    ▼a0541
■71020▼aHarvard  University▼bEngineering  and  Applied  Sciences  -  Computer  Science.
■7730  ▼tDissertations  Abstracts  International▼g83-02B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0084
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052239▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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