Dictionary Learning of Symmetric Positive Definite Data Based on Riemannian Manifold Tangent Spaces and Local Homeomorphism

Symmetric Positive Definite (SPD) data are increasingly prevalent in dictionary learning recently. SPD data are the typical non-Euclidean data and cannot constitute a Euclidean space. Therefore, many dictionary learning algorithms cannot be directly adopted on SPD data. Reproducing Kernel Hilbert Sp...

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Main Authors: Hui He, Shuyu Liu, Zhengming Ma, Weijia Feng
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2022-01-01
Colecção:IEEE Access
Assuntos:
Symmetric positive definite matrices
Riemannian manifolds
dictionary learning
sparse coding
Acesso em linha:https://ieeexplore.ieee.org/document/9763529/
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