Fractional Generalized Multiview Discriminative Projections and Extension for Multiview Learning

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