Global plus local: a complete framework for feature extraction and recognition

DOI10.1016/J.PATCOG.2013.10.005zbMath1326.68239OpenAlexW2009718124MaRDI QIDQ898388

Zhongliang Luo, Yun Zhao, Minghui Du, Jiazhong He, Dianzhou Zhang

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.2013.10.005

zbMATH Keywords

feature extractionpattern classificationLDAglobal informationlocal information

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

L1-norm and maximum margin criterion based discriminant locality preserving projections via trace Lasso ⋮ A new linear discriminant analysis algorithm based on L1-norm maximization and locality preserving projection

Uses Software

• KPCA plus LDA

Cites Work

• Supervised optimal locality preserving projection
• A novel supervised dimensionality reduction algorithm: graph-based Fisher analysis
• Efficient linear discriminant analysis with locality preserving for face recognition
• Two-dimensional supervised local similarity and diversity projection
• Stable local dimensionality reduction approaches
• A multi-manifold discriminant analysis method for image feature extraction
• A direct LDA algorithm for high-dimensional data -- with application to face recognition
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