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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 merely cons...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Qi Zhang, Chaoyi Shi, Tianguang Chu
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2020-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/9035493/
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