Supervised Structural Sparse Subspace Learning Based on Hierarchical Locality Preservation for Multimodal and Mixmodal Data

Supervised Structural Sparse Subspace Learning Based on Hierarchical Locality Preservation for Multimodal and Mixmodal Data

We study the multimodal and mixmodal data-driven supervised structural sparse subspace learning problem in this paper, and present the α-structural regularization based hierarchical locality analysis (α-SRHLA) model. Unlike most existing sparse subspace learning models that mer...

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Bibliographic Details
Main Authors: Qi Zhang, Chaoyi Shi, Tianguang Chu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dimensionality reduction
sparse subspace learning
structural sparsity
multimodal and mixmodal data
face recognition
Online Access:https://ieeexplore.ieee.org/document/9035493/

Internet

https://ieeexplore.ieee.org/document/9035493/

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