Multiple rank multi-linear SVM for matrix data classification

DOI10.1016/j.patcog.2013.07.002zbMath1326.68245OpenAlexW2036043678MaRDI QIDQ898305

Feiping Nie, Yi Wu, Dongyun Yi, Chenping Hou, Changshui 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.2013.07.002

zbMATH Keywords

pattern recognitiongeneralizationSVMSTMlearning capacitymatrix data classification

Mathematics Subject Classification ID

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

Related Items (5)

Matrixized learning machine with modified pairwise constraints ⋮ Robust multicategory support matrix machines ⋮ Rank-Optimized Logistic Matrix Regression toward Improved Matrix Data Classification ⋮ Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin ⋮ Least square support tensor regression machine based on submatrix of the tensor

Uses Software

• LIBSVM
• PRMLT

Cites Work

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• The Kronecker product and stochastic automata networks
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• Stable local dimensionality reduction approaches
• A novel multi-view learning developed from single-view patterns
• 3-D Brain MRI Tissue Classification on FPGAs
• Efficient Image Classification via Multiple Rank Regression

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