Block-Diagonal Constrained Low-Rank and Sparse Graph for Discriminant Analysis of Image Data

Block-Diagonal Constrained Low-Rank and Sparse Graph for Discriminant Analysis of Image Data

Recently, low-rank and sparse model-based dimensionality reduction (DR) methods have aroused lots of interest. In this paper, we propose an effective supervised DR technique named block-diagonal constrained low-rank and sparse-based embedding (BLSE). BLSE has two steps, i.e., block-diagonal constrai...

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Bibliographic Details
Main Authors: Tan Guo, Xiaoheng Tan, Lei Zhang, Chaochen Xie, Lu Deng
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Sensors
Subjects:
dimensionality reduction
low-rank representation
sparse representation
block-diagonal
image classification
Online Access:http://www.mdpi.com/1424-8220/17/7/1475

Internet

http://www.mdpi.com/1424-8220/17/7/1475

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