CORRELATION-BASED MULTIDIMENSIONAL SCALING FOR UNSUPERVISED SUBSPACE LEARNING

DOI10.1142/S0219691312500300zbMath1245.90040MaRDI QIDQ2902645

Ling-Feng Zhang, Zhaowei Shang, Guanghui He

Publication date: 22 August 2012

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

zbMATH Keywords

feature extractionface recognitiondimensionality reductionmultidimensional scalingsubspace learningcorrelation measure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Management decision making, including multiple objectives (90B50)

Cites Work

• Principal component analysis.
• Local multidimensional scaling
• LOCAL LEARNING ESTIMATES BY INTEGRAL OPERATORS
• GABOR-BASED TENSOR LOCAL DISCRIMINANT EMBEDDING AND ITS APPLICATION ON PALMPRINT RECOGNITION
• ANALYSIS OF CLASSIFICATION WITH A REJECT OPTION
• Canonical Correlation Analysis: An Overview with Application to Learning Methods
• A PAC-Bayesian margin bound for linear classifiers
• A self-organizing principle for learning nonlinear manifolds
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