Multi-View Unsupervised Feature Selection with Adaptive Similarity and View Weight
نویسندگان
چکیده
منابع مشابه
Adaptive Unsupervised Multi-view Feature Selection for Visual Concept Recognition
To reveal and leverage the correlated and complemental information between different views, a great amount of multi-view learning algorithms have been proposed in recent years. However, unsupervised feature selection in multiview learning is still a challenge due to lack of data labels that could be utilized to select the discriminative features. Moreover, most of the traditional feature select...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2017
ISSN: 1041-4347
DOI: 10.1109/tkde.2017.2681670