Regularized least squares locality preserving projections with applications to image recognition

Locality preserving projection (LPP), as a well-known technique for dimensionality reduction, is designed to preserve the local structure of the original samples which usually lie on a low-dimensional manifold in the real world. However, it suffers from the undersampled or small-sample-size problem,...

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Veröffentlicht in:	Neural networks 2020-08, Vol.128, p.322-330
Hauptverfasser:	Wei, Wei, Dai, Hua, Liang, Weitai
Format:	Artikel
Sprache:	eng
Schlagworte:	Dimensionality reduction Locality preserving projection Regularized least squares Small-sample-size problem
Online-Zugang:	Volltext
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