Fractional Generalized Multiview Discriminative Projections and Extension for Multiview Learning
Cognitive Systems Research, pp. 19-30, 2019.
In multi-view learning, there are a large number of small sample size problems in which the number of training samples is less than the dimension of feature vectors. For such problems, generalized multi-view linear discriminant analysis (GMLDA) usually fails to achieve good learning performance for many classification tasks. In this paper...More
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