Locality constrained dictionary learning for non‐linear dimensionality reduction and classification

Locality constrained dictionary learning for non‐linear dimensionality reduction and classification

In view of the incremental dimensionality reduction problem of existing non‐linear dimensionality reduction methods, a novel algorithm, based on locality constrained dictionary learning (LCDL), is proposed in this study. During the dictionary learning process, the neighbourhood size of some potentia...

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Bibliographic Details
Main Authors: Lina Liu, Shiwei Ma, Ling Rui, Jian Lu
Format: Article
Language:English
Published: Wiley 2017-02-01
Series:IET Computer Vision
Subjects:
locality constrained dictionary learning process
nonlinear dimensionality reduction method
nonlinear dimensionality classification
incremental dimensionality reduction problem
LCDL
intrinsic local geometric feature
Online Access:https://doi.org/10.1049/iet-cvi.2015.0482

Internet

https://doi.org/10.1049/iet-cvi.2015.0482

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