24th EANN 2023, 14 - 17 June 2023, León, Spain

Multi-View Semi-Supervised Learning using Privileged Information

Evgueni Smirnov, Richard Delava, Ron Diris, Nikolay Nikolaev


  In this paper we propose to combine the paradigm of multi-view semi-supervised learning with that of learning using privileged information. The combination is realized by a new method that we introduce in detail. A distinctive feature of the method is that it is classifier agnostic which contracts with most of the methods for learning using privileged information. An experimental study on a real-life problem shows that using privileged information is capable of improving multi-view semi-supervised learning.  

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