Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction

Most off-the-shelf subspace learning methods directly calculate the statistical characteristics of the original input images, while ignoring different contributions of different image components. In fact, to extract efficient features for image analysis, the noise or trivial structure in images shou...

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Bibliographic Details
Main Authors: Meng Pang, Binghui Wang, Yiu-Ming Cheung, Chuang Lin
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Subspace learning
manifold learning
dictionary learning
feature extraction
image decomposition
Online Access:https://ieeexplore.ieee.org/document/7987691/

Internet

https://ieeexplore.ieee.org/document/7987691/

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