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Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data
Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Dat...
Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data

Detailed Information

자료유형  
 학위논문파일 국외
최종처리일시  
20220210094307
ISBN  
9798544281757
DDC  
001.5
저자명  
Farnoosh, Amirreza.
서명/저자  
Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data
발행사항  
[Sl] : Northeastern University, 2021
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2021
형태사항  
146 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
주기사항  
Advisor: Ostadabbas, Sarah.
학위논문주기  
Thesis (Ph.D.)--Northeastern University, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Artificial intelligence
일반주제명  
Computer science
일반주제명  
Electrical engineering
일반주제명  
Neurosciences
일반주제명  
Bioinformatics
일반주제명  
Biomechanics
키워드  
3D skeletal motion
키워드  
Computational neuroscience
키워드  
Deep generative Models
키워드  
Indoor navigation
키워드  
Switching dynamical Models
키워드  
Variational inference
기타저자  
Northeastern University Electrical and Computer Engineering
기본자료저록  
Dissertations Abstracts International. 83-03B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a001.5
■1001  ▼aFarnoosh,  Amirreza.
■24510▼aUnsupervised  Learning  of  Low-Dimensional  Dynamical  Representations  from  Spatiotemporal  Data
■260    ▼a[Sl]▼bNortheastern  University▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a146  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-03,  Section:  B.
■500    ▼aAdvisor:  Ostadabbas,  Sarah.
■5021  ▼aThesis  (Ph.D.)--Northeastern  University,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0160.
■650  4▼aArtificial  intelligence
■650  4▼aComputer  science
■650  4▼aElectrical  engineering
■650  4▼aNeurosciences
■650  4▼aBioinformatics
■650  4▼aBiomechanics
■653    ▼a3D  skeletal  motion
■653    ▼aComputational  neuroscience
■653    ▼aDeep  generative  Models
■653    ▼aIndoor  navigation
■653    ▼aSwitching  dynamical  Models
■653    ▼aVariational  inference
■690    ▼a0800
■690    ▼a0984
■690    ▼a0544
■690    ▼a0317
■690    ▼a0715
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■71020▼aNortheastern  University▼bElectrical  and  Computer  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g83-03B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0160
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054456▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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