A classification-oriented dictionary learning model: explicitly learning the particularity and commonality across categories

DOI10.1016/J.PATCOG.2013.08.004zbMath1326.68235OpenAlexW2164576411MaRDI QIDQ898347

Donghui Wang, Shu Kong

Publication date: 8 December 2015

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2013.08.004

zbMATH Keywords

image classificationcommonalitydictionary learningsparse codingparticularity

Mathematics Subject Classification ID

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

Related Items (2)

Supervised dictionary learning with multiple classifier integration ⋮ Noise learning based discriminative dictionary learning algorithm for image classification

Uses Software

• SIFT
• Multi-PIE

Cites Work

• Proportional response dynamics in the Fisher market
• Discover latent discriminant information for dimensionality reduction: non-negative sparseness preserving embedding
• Least angle regression. (With discussion)
• Coordinate descent algorithms for lasso penalized regression
• Nonparametric sparsity and regularization
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Learning with $\ell ^{1}$-graph for image analysis
• Modeling the shape of the scene: A holistic representation of the spatial envelope

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