Local Self-Expression Subspace Learning Network for Motion Capture Data
Deep subspace learning is an important branch of self-supervised learning and has been a hot research topic in recent years, but current methods do not fully consider the individualities of temporal data and related tasks. In this paper, by transforming the individualities of motion capture data and...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 01., Seite 4869-4883
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1. Verfasser: |
Xia, Guiyu
(VerfasserIn) |
Weitere Verfasser: |
Xue, Peng,
Sun, Huaijiang,
Sun, Yubao,
Zhang, Du,
Liu, Qingshan |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2022
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |