Low-Rank and Joint Sparse Representations for Multi-Modal Recognition

We propose multi-task and multivariate methods for multi-modal recognition based on low-rank and joint sparse representations. Our formulations can be viewed as generalized versions of multivariate low-rank and sparse regression, where sparse and low-rank representations across all modalities are im...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 10 vom: 06. Okt., Seite 4741-4752
Auteur principal: Zhang, Heng (Auteur)
Autres auteurs: Patel, Vishal M, Chellappa, Rama
Format: Article en ligne
Langue:English
Publié: 2017
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article