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The aim of this paper is to develop an intrinsic regression model for the analysis of positive-definite matrices as responses in a Riemannian manifold and their association with a set of covariates, such as age and gender, in a Euclidean space. The primary motivation and application of the proposed methodology is in medical imaging.
Weili Lin, Hongtu Zhu
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Low-rank tensor approximation with local structure for multi-view intrinsic subspace clustering
Information Sciences, 2022Chuan Chen, Jinghua Yang, Lele Fu
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Tensor Q-rank: new data dependent definition of tensor rank
Machine Learning, 2021Canyi Lu, Lin, Zhouchen, Hao Kong
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Hyperspectral Feature Extraction by Tensor Modeling and Intrinsic Decomposition
Procedia Computer Science, 2020Ouajdi Korbaa, Karim Saheb Ettabaa
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The tensor t-function: A definition for functions of third-order tensors
Numerical Linear Algebra With Applications, 2020Kathryn Lund
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Intrinsic spin Hall effect with spin-tensor-momentum coupling
Physica B: Condensed Matter, 2020Qi-Hui Chen, Yong-Ping Fu
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Video reconstruction based on Intrinsic Tensor Sparsity model
Signal Processing: Image Communication, 2019Shuyuan Yang, Wan Li, Jie Wu
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