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