Scaling Subspace-Driven Approaches Using Information Fusion

In this work, we seek to exploit the deep structure of multi-modal data to robustly exploit the group subspace distribution of the information using the Convolutional Neural Networks (CNNs) formalism. Upon unfolding the set of subspaces constituting each data modality, and learning their correspondi...

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Detalles Bibliográficos

Autores principales:	Ghanem, Sally, Krim, Hamid
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2023
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/86112
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