Extracting the optimal dimensionality for local tensor discriminant analysis

DOI10.1016/j.patcog.2008.03.012zbMath1159.68545OpenAlexW2061427907MaRDI QIDQ955832

Changshui Zhang, Yangqiu Song, Feiping Nie, Shiming Xiang

Publication date: 20 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.03.012

zbMATH Keywords

alternating optimizationlocal scatteroptimal dimensionalitytensor discriminant analysis

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (4)

Image deblurring with matrix regression and gradient evolution ⋮ Multiple rank multi-linear SVM for matrix data classification ⋮ Incremental tensor principal component analysis for handwritten digit recognition ⋮ Cross-media retrieval using query dependent search methods

Uses Software

• MA Toolbox
• COIL-20

Cites Work

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• A study on three linear discriminant analysis based methods in small sample size problem
• A direct LDA algorithm for high-dimensional data -- with application to face recognition

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