Conference
View in EDS

Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures

Bibliographic Details
Title: Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures
Authors: Garcia, Hernan F., Orozco, Alvaro A., Alvarez, Mauricio A.
Source: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) Machine Learning for Signal Processing (MLSP), 2018 IEEE 28th International Workshop on. :1-6 Sep, 2018
Relation: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
Database: IEEE Xplore Digital Library
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://login.libproxy.scu.edu/login?url=https://ieeexplore.ieee.org/document/8516934
    Name: EDS - IEEE (s8985755)
    Category: fullText
    Text: Check IEEE Xplore for full text
    MouseOverText: Check IEEE Xplore for full text. A new window will open.
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edseee&genre=book&issn=edseee.IEEEConferenc&ISBN=9781538654774&volume=&issue=&date=&spage=1&pages=1-6&title=2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Machine Learning for Signal Processing (MLSP), 2018 IEEE 28th International Workshop on&atitle=Nonlinear%20Probabilistic%20Latent%20Variable%20Models%20for%20Groupwise%20Correspondence%20Analysis%20in%20Brain%20Structures&aulast=Garcia%2C%20Hernan%20F.&id=DOI:10.1109/MLSP.2018.8516934
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
Header DbId: edseee
DbLabel: IEEE Xplore Digital Library
An: edseee.8516934
RelevancyScore: 1011
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 1011.44073486328
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Garcia%2C+Hernan+F%2E%22">Garcia, Hernan F.</searchLink><br /><searchLink fieldCode="AR" term="%22Orozco%2C+Alvaro+A%2E%22">Orozco, Alvaro A.</searchLink><br /><searchLink fieldCode="AR" term="%22Alvarez%2C+Mauricio+A%2E%22">Alvarez, Mauricio A.</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) Machine Learning for Signal Processing (MLSP), 2018 IEEE 28th International Workshop on. :1-6 Sep, 2018
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edseee&AN=edseee.8516934
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/MLSP.2018.8516934
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 1
    Titles:
      – TitleFull: Nonlinear Probabilistic Latent Variable Models for Groupwise Correspondence Analysis in Brain Structures
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Garcia, Hernan F.
      – PersonEntity:
          Name:
            NameFull: Orozco, Alvaro A.
      – PersonEntity:
          Name:
            NameFull: Alvarez, Mauricio A.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Type: published
              Y: 2018
          Identifiers:
            – Type: isbn-print
              Value: 9781538654774
            – Type: issn-locals
              Value: edseee.IEEEConferenc
          Titles:
            – TitleFull: 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Machine Learning for Signal Processing (MLSP), 2018 IEEE 28th International Workshop on
              Type: main
ResultId 1