Supervised orthogonal discriminant subspace projects learning for face recognition

DOI10.1016/J.NEUNET.2013.10.006zbMath1298.68272DBLPjournals/nn/ChenX14OpenAlexW2056783870WikidataQ50708703 ScholiaQ50708703MaRDI QIDQ470166

Xiao-Hong Xu, Yu Chen

Publication date: 12 November 2014

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2013.10.006

zbMATH Keywords

face recognitiondimensionality reductionsmall sample sizemaximum margin criterionorthogonal constraint

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Uses Software

• Yale Face
• FERET
• ORL face

Cites Work

• Unnamed Item
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• Supervised optimal locality preserving projection
• Graph-optimized locality preserving projections
• Face recognition using discriminant locality preserving projections based on maximum margin criterion
• Local structure based supervised feature extraction
• Discriminant subspace learning constrained by locally statistical uncorrelation for face recognition
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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