LAUSR

Generalized Embedding Regression: A Framework for Supervised Feature Extraction.

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0 Published in 2020 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2020.3027602

Abstract: Sparse discriminative projection learning has attracted much attention due to its good performance in recognition tasks. In this article, a framework called generalized embedding regression (GER) is proposed, which can simultaneously perform low-dimensional embedding and… read more here.

Keywords: generalized embedding; regression; framework; supervised feature ... See more keywords