NIM-Nets : Noise-Aware Incomplete Multi-View Learning Networks

Data in real world are usually characterized in multiple views, including different types of features or different modalities. Multi-view learning has been popular in the past decades and achieved significant improvements. In this paper, we investigate three challenging problems in the field of inco...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 06., Seite 175-189
Auteur principal:	Qin, Yalan (Auteur)
Autres auteurs:	Qin, Chuan, Zhang, Xinpeng, Qi, Donglian, Feng, Guorui
Format:	Article en ligne
Langue:	English
Publié:	2023
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article