Fractional Generalized Multiview Discriminative Projections and Extension for Multiview Learning

Cognitive Systems Research, pp. 19-30, 2019.

Cited by: 0|Bibtex|Views25|DOI:https://doi.org/10.1016/j.cogsys.2019.04.006
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Abstract:

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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