Adaptive Log-Euclidean Metrics for SPD Matrix Learning
Symmetric Positive Definite (SPD) matrices have received wide attention in machine learning due to their intrinsic capacity to encode underlying structural correlation in data. Many successful Riemannian metrics have been proposed to reflect the non-Euclidean geometry of SPD manifolds. However, most...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 19., Seite 5194-5205
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| 1. Verfasser: |
Chen, Ziheng
(VerfasserIn) |
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| Weitere Verfasser: |
Song, Yue,
Xu, Tianyang,
Huang, Zhiwu,
Wu, Xiao-Jun,
Sebe, Nicu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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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 |
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