Robust Dictionary Learning and Sparse Coding With Riemannian Geometry Preserving Method in Symmetric Matrices Inner Product Space

Robust Dictionary Learning and Sparse Coding With Riemannian Geometry Preserving Method in Symmetric Matrices Inner Product Space

Existing Dictionary Learning and Sparse Coding (DLSC) algorithms for Symmetric Positive Definite (SPD) matrices usually adopt Reproducing Kernel Hilbert Space as workspace to perform necessary linear operations. But those methods heavily rely on ideal kernel maps and they are lack of robustness when...

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Bibliographic Details
Main Authors: Yang Zhang, Yuesheng Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dictionary learning and sparse coding
geometry preserving
Riemannian manifold
symmetric positive definite (SPD) matrices
symmetric matrices inner product space
Online Access:https://ieeexplore.ieee.org/document/9238028/

Internet

https://ieeexplore.ieee.org/document/9238028/

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