Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications

DOI10.1016/J.SIGPRO.2010.01.019zbMath1194.94107OpenAlexW2082048032MaRDI QIDQ985529

Youfu Li, Tuo Zhao, Zhizheng Liang

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.01.019

zbMATH Keywords

discriminant analysisfeature extractionkernel functionimage classificationnonnegative matrix factorization

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• JAFFE

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonnegative matrix factorization with constrained second-order optimization
• On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
• Nonnegative matrix factorization and I-divergence alternating minimization
• Document clustering using nonnegative matrix factorization
• 10.1162/153244303768966085
• Projected gradient methods for linearly constrained problems
• On the Goldstein-Levitin-Polyak gradient projection method
• Introducing a weighted non-negative matrix factorization for image classification
• Evaluation of distance metrics for recognition based on non-negative matrix factorization
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization
• Structural, Syntactic, and Statistical Pattern Recognition

This page was built for publication: Projected gradient method for kernel discriminant nonnegative matrix factorization and the applications