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Patching interpretable And-Or-Graph knowledge representation using augmented reality.

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Bibliographic Details
Title: Patching interpretable And-Or-Graph knowledge representation using augmented reality.
Authors: Hangxin Liu1, Yixin Zhu1, yixin.zhu@ucla.edu, Song-Chun Zhu1
Source: Applied AI Letters; Dec2021, Vol. 2 Issue 4, p1-11, 11p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 154785091
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=154785091
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      – Type: doi
        Value: 10.1002/ail2.43
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: Patching interpretable And-Or-Graph knowledge representation using augmented reality.
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            NameFull: Hangxin Liu
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            NameFull: Yixin Zhu
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            NameFull: Song-Chun Zhu
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            – D: 01
              M: 12
              Text: Dec2021
              Type: published
              Y: 2021
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