Learning Internal Representations of 3D Transformations From 2D Projected Inputs.

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Title: Learning Internal Representations of 3D Transformations From 2D Projected Inputs.
Authors: Connor, Marissa1, marissa.c.connor@gmail.com, Olshausen, Bruno2, baolshausen@berkeley.edu, Rozell, Christopher1, crozell@gatech.edu
Source: Neural Computation; Nov2024, Vol. 36 Issue 11, p2505-2539, 35p
Database: Applied Science & Technology Source
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  Data: Learning Internal Representations of 3D Transformations From 2D Projected Inputs.
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  Data: <searchLink fieldCode="AU" term="%22Connor%2C+Marissa%22">Connor, Marissa</searchLink><relatesTo>1</relatesTo>, <i>marissa.c.connor@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Olshausen%2C+Bruno%22">Olshausen, Bruno</searchLink><relatesTo>2</relatesTo>, <i>baolshausen@berkeley.edu</i><br /><searchLink fieldCode="AU" term="%22Rozell%2C+Christopher%22">Rozell, Christopher</searchLink><relatesTo>1</relatesTo>, <i>crozell@gatech.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computation%22">Neural Computation</searchLink>; Nov2024, Vol. 36 Issue 11, p2505-2539, 35p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180176564
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1162/neco_a_01695
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      – Code: eng
        Text: English
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        PageCount: 35
        StartPage: 2505
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      – TitleFull: Learning Internal Representations of 3D Transformations From 2D Projected Inputs.
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            NameFull: Connor, Marissa
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            NameFull: Olshausen, Bruno
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              M: 11
              Text: Nov2024
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              Y: 2024
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