Dimensionality reduction of SPD data based on Riemannian manifold tangent spaces and local affinity
Author:
Funder
national natural science foundation of china
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03177-0.pdf
Reference43 articles.
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2. Arsigny V, Fillard P, Pennec X, Ayache N (2005) Fast and simple computations on tensors with log-Euclidean Metrics. INRIA Res Rep
3. Huang Z, Wang R, Li X, Liu W, Shan S, Gool LV, Chen X (2018) Geometry-aware similarity learning on SPD manifolds for visual recognition. IEEE Trans Circ Syst Vid Technol 28(10):2513–2523. https://doi.org/10.1109/TCSVT.2017.2729660
4. Harandi M, Salzmann M, Hartley R (2018) Dimensionality reduction on SPD manifolds: the emergence of geometry-aware methods. IEEE Trans Pattern Anal Mach Intell 40(1):48–62. https://doi.org/10.1109/TPAMI.2017.2655048
5. Huang Z, Wang R, Shan S, Gool LV, Chen X (2018) Cross Euclidean-to-Riemannian metric learning with application to face recognition from video. IEEE Trans Pattern Anal Mach Intell 40(12):2827–2840. https://doi.org/10.1109/TPAMI.2017.2776154
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