Robust L1-norm two-dimensional linear discriminant analysis

DOI10.1016/j.neunet.2015.01.003zbMath1394.68298DBLPjournals/nn/LiSD15OpenAlexW2036295561WikidataQ50954355 ScholiaQ50954355MaRDI QIDQ1669079

Yuan-Hai Shao, Chun-Na Li, Nai-Yang Deng

Publication date: 30 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.01.003

zbMATH Keywords

iterative techniquedimensionality reductionlinear discriminant analysistwo-dimensional linear discriminant analysisL1-norm two-dimensional linear discriminant analysis

Mathematics Subject Classification ID

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

Related Items (16)

Lp- and Ls-norm distance based robust linear discriminant analysis ⋮ Flexible non-greedy discriminant subspace feature extraction ⋮ Improved multi-view GEPSVM via inter-view difference maximization and intra-view agreement minimization ⋮ Generalized two-dimensional linear discriminant analysis with regularization ⋮ Kronecker-decomposable robust probabilistic tensor discriminant analysis ⋮ Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion ⋮ Short-term traffic flow prediction based on a hybrid optimization algorithm ⋮ Robust multi-view discriminant analysis with view-consistency ⋮ Generalized Gini linear and quadratic discriminant analyses ⋮ Robust bilateral \(L_p\)-norm two-dimensional linear discriminant analysis ⋮ Label distribution learning by regularized sample self-representation ⋮ MBLDA: a novel multiple between-class linear discriminant analysis ⋮ Principal component analysis: a generalized Gini approach ⋮ Robust recursive absolute value inequalities discriminant analysis with sparseness ⋮ F-norm distance metric based robust 2DPCA and face recognition ⋮ A centroid-based gene selection method for microarray data classification

Uses Software

• rda
• COIL-20

Cites Work

• Regularized linear discriminant analysis and its application in microarrays
• Feature extraction using two-dimensional local graph embedding based on maximum margin criterion
• A framework for robust subspace learning
• Two-dimensional discriminant transform for face recognition
• From image vector to matrix: A straightforward image projection technique -- IMPCA vs. PCA
• Face recognition based on 2D Fisherface approach
• (2D)\(^{2}\)LDA: an efficient approach for face recognition
• 10.1162/153244303321897726
• Linear Discriminant Analysis Based on L1-Norm Maximization
• Support vector machine classifiers with uncertain knowledge sets via robust optimization

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