"Dimensionality reduction"

Designing various multivariate analysis at will via generalized pairwise expression

It is well known that dimensionality reduction based on multivariate analysis methods and their kernelized extensions can be formulated as generalized eigenvalue problems of scatter matrices, Gram matrices or their augmented matrices. This paper …

Exploiting Socially-generated Side Information in Dimensionality Reduction

In this paper, we show how side information extracted from socially-curated data can be used within a dimensionality reduction method and to what extent this side information is beneficial to several tasks such as image classification, data …