|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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