A probabilistic model for image representation via multiple patterns

DOI10.1016/J.PATCOG.2012.04.021zbMath1242.68362OpenAlexW1996449957WikidataQ62794935 ScholiaQ62794935MaRDI QIDQ437785

Dacheng Tao, Xuelong Li, Jun Li

Publication date: 19 July 2012

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.04.021

zbMATH Keywords

principal component analysisprobabilistic model

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Computing methodologies for image processing (68U10)

Uses Software

• FERET
• NeNMF
• COIL-20

Cites Work

• Unnamed Item
• Manifold elastic net: a unified framework for sparse dimension reduction
• Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition
• Bilinear Lanczos components for fast dimensionality reduction and feature extraction
• Principal component analysis.
• From image vector to matrix: A straightforward image projection technique -- IMPCA vs. PCA
• Regularized estimation of large covariance matrices
• Probabilistic Principal Component Analysis
• Learning the parts of objects by non-negative matrix factorization
• Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent

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