Manifold adaptive kernelized low-rank representation for semisupervised image classification

DOI10.1155/2018/2857594zbMath1390.68738OpenAlexW2804115677MaRDI QIDQ1649496

Yong Peng, Feiping Nie, Feiwei Qin, Wanzeng Kong

Publication date: 6 July 2018

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/2857594

zbMATH Keywords

nonlinearitygraph-based semisupervised learning algorithmslow-rank representation (LRR)manifold kernelized low-rank representation (MKLRR) modelsemisupervised image classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• l1_ls

Cites Work

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• Robust principal component analysis?
• A Singular Value Thresholding Algorithm for Matrix Completion
• Learning with $\ell ^{1}$-graph for image analysis
• Graph Regularized Sparse Coding for Image Representation

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