A General Approach for Achieving Supervised Subspace Learning in Sparse Representation

A General Approach for Achieving Supervised Subspace Learning in Sparse Representation

Over the past few decades, a large family of subspace learning algorithms based on dictionary learning have been designed to provide different solutions to learn subspace feature. Most of them are unsupervised algorithms that are applied to data without label scenarios. It is worth noting that the l...

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Bibliographic Details
Main Authors: Jianshun Sang, Dezhong Peng, Yongsheng Sang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Subspace learning
sparse representation
supervised algorithm
manifold learning
dimensionality reduction
Online Access:https://ieeexplore.ieee.org/document/8640013/

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