Subspace segmentation by dense block and sparse representation

DOI10.1016/j.neunet.2015.11.011zbMath1414.68078OpenAlexW2195250169WikidataQ40155431 ScholiaQ40155431MaRDI QIDQ2418108

Kewei Tang, Jiangxin Dong, David B. Dunson, Risheng Liu, Jie Zhang, Zhi-Xun Su

Publication date: 3 June 2019

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.11.011

zbMATH Keywords

2-normdisjointsubspace segmentationLRR

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Related Items

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data, Sparse subspace clustering for data with missing entries and high-rank matrix completion

Cites Work

• Characterization of the subdifferential of some matrix norms
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• Robust principal component analysis?
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• Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data
• Saliency Detection by Multitask Sparsity Pursuit
• Metrics and models for handwritten character recognition