Efficient linear discriminant analysis with locality preserving for face recognition

DOI10.1016/j.patcog.2011.11.012zbMath1233.68203OpenAlexW2004616349MaRDI QIDQ763374

Yao Gao, Xin Shu, Hongtao Lu

Publication date: 9 March 2012

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.11.012

zbMATH Keywords

face recognitionlinear discriminant analysislocality preserving projectionspectral regression

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Pattern recognition, speech recognition (68T10)

Related Items

Texture feature descriptor using auto salient feature selection for scale-adaptive improved local difference binary ⋮ Subclass graph embedding and a marginal Fisher analysis paradigm ⋮ Global plus local: a complete framework for feature extraction and recognition ⋮ A robust face recognition method using multiple features fusion and linear regression ⋮ A new linear discriminant analysis algorithm based on L1-norm maximization and locality preserving projection

Uses Software

• LSQR
• ElemStatLearn
• CMU PIE
• CRAIG

Cites Work

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• Face recognition based on the uncorrelated discriminant transformation
• The elements of statistical learning. Data mining, inference, and prediction
• A theorem on the uncorrelated optimal discriminant vectors