Tensor local linear embedding with global subspace projection optimisation

Tensor local linear embedding with global subspace projection optimisation

Abstract In this paper, a novel tensor dimensionality reduction (TDR) approach is proposed, which maintains the local geometric structure of tensor data by tensor local linear embedding and explores the global feature by optimising global subspace projection. Firstly, we analyse the local linear fea...

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Bibliographic Details
Main Authors: Guo Niu, Zhengming Ma
Format: Article
Language:English
Published: Wiley 2022-04-01
Series:IET Computer Vision
Subjects:
local linear embedding
subspace projection
tensor dimensionality reduction
tensors
Online Access:https://doi.org/10.1049/cvi2.12083

Internet

https://doi.org/10.1049/cvi2.12083

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