The UMAP visualization of the fused features extracted in this work.

<p>The UMAP visualization of the fused features extracted in this work.</p>

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Bibliographic Details
Main Author:	Hui Yang (91136) (author)
Other Authors:	Linyan Kang (21395071) (author), Xun Che (2892458) (author)
Published:	2025
Subjects:	Cell Biology Ecology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified visualization experiments demonstrate six competitive methods reducing redundancy features extract discriminative features exhibiting distinct advantages dynamic fusion module utilizing existing multi different samples dynamically dynamic fusion approach div >< p view classification plays view classification based l </ b learn classification different views classification task </ b view data supervised multi negative impact four datasets crucial role autonomous driving approach leverages
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