A general learning framework using local and global regularization

DOI10.1016/j.patcog.2010.03.025zbMath1207.68252OpenAlexW1978118438MaRDI QIDQ1957872

Fei Wang

Publication date: 27 September 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.03.025

zbMATH Keywords

regularizationmachine learninggloballocal

Mathematics Subject Classification ID

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

Related Items

Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction

Cites Work

• Towards a theoretical foundation for Laplacian-based manifold methods
• Principal component analysis.
• Learning Theory
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Learning Theory
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