Multi-view low-rank dictionary learning for image classification

DOI10.1016/j.patcog.2015.08.012zbMath1394.68319OpenAlexW1201875361MaRDI QIDQ1669712

Jing-Yu Yang, Dong Yue, Xiao-Yuan Jing, Ruimin Hu, Fei Wu, Xinge You

Publication date: 4 September 2018

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2015.08.012

zbMATH Keywords

collaborative representation-based classificationmulti-view dictionary learningmulti-view dictionary low-rank regularizationstructural incoherence constraint

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (6)

Joint specific and correlated information exploration for multi-view action clustering ⋮ Recovery of low-rank matrices based on the rank null space properties ⋮ An efficient dictionary-based multi-view learning method ⋮ Flexible multi-view semi-supervised learning with unified graph ⋮ Robust multi-view learning via adaptive regression ⋮ Weight-based label-unknown multi-view data set generation approach

Uses Software

• AR face

Cites Work

• Unnamed Item
• Fractional-order embedding canonical correlation analysis and its applications to multi-view dimensionality reduction and recognition
• Exact matrix completion via convex optimization
• Robust principal component analysis?
• Rank-Sparsity Incoherence for Matrix Decomposition
• Greed is Good: Algorithmic Results for Sparse Approximation
• A Hessenberg-Schur method for the problem AX + XB= C
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Dictionary Learning for Stereo Image Representation
• Matrix Equation $XA + BX = C$
• Application of the Karhunen-Loève Expansion to Feature Selection and Ordering

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