A novel dimensionality reduction method with discriminative generalized eigen-decomposition

Abstract

Dimensionality reduction plays a critical role in machine learning and computer vision for past decades. In this paper, we propose a discriminative dimensionality reduction method based on generalized eigendecomposition. Firstly, we define the discriminative framework between pairwise classes inspired by the signal to noise ratio. Then the metric is given… (More)
DOI: 10.1016/j.neucom.2014.12.122

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