Multilinear Discriminant Analysis for Face Recognition - Yan, Shuicheng; Xu, Dong; Yang, Qiang; Zhang, Lei; Tang, Xiaoou; Zhang, Hong-Jiang (IEEE transactions on image processing, 2007)
Keywords: 2-D LDA; 2-D PCA; Algorithm design and analysis; Algorithms; Applied sciences; Artificial Intelligence; Asia; Biometry - methods; Computer Simulation; Discriminant Analysis; Exact sciences and technology; Face - anatomy & histology; Face recognition; Feature extraction; Humans; Image coding; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image processing; Information Storage and Retrieval - methods; Information, signal and communications theory; Iterative algorithms; Learning; Linear discriminant analysis; linear discriminant analysis (LDA); Linear Models; Mathematical analysis; Miscellaneous; Models, Biological; multilinear algebra; Numerical Analysis, Computer-Assisted; Pattern recognition; Pattern Recognition, Automated - methods; Principal component analysis; principal component analysis (PCA); Signal processing; Studies; subspace learning; Subspaces; Telecommunications and information theory; Tensile stress; Tensors; Unsupervised learning; Biometrics; Performance evaluation; Second order; Image processing; Multicriteria analysis; Iterative method; multilinear algebra; Optimization; Learning; Image coding; Database; Learning algorithm; 2-D LDA; Discriminant analysis; Face recognition; Third order; principal component analysis (PCA); Subspace method; Pattern recognition; Computational complexity; Statistical method; subspace learning; Signal processing; 2-D PCA; Feature extraction; linear discriminant analysis (LDA); Automatic recognition; Algorithm analysis; Principal component analysis