Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application - Oh, Sung-Kwun; Yoo, Sung-Hoon; Pedrycz, Witold (Expert systems with applications, 2013)
Keywords: Algorithms; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Connectionism. Neural networks; Data processing. List processing. Character string processing; Design engineering; differential evolution; Exact sciences and technology; Face recognition; FCM; Flows in networks. Combinatorial problems; Fuzzy; Fuzzy C-Means; Fuzzy logic; Fuzzy set theory; Inference; LDA; linear discriminant analysis; Memory organisation. Data processing; Modules; Operational research and scientific management; Operational research. Management science; P-RBF NNs; Pattern recognition. Digital image processing. Computational geometry; PCA; polynomial-based radial basis function neural networks; principal component analysis; Software; LDA; FCM; DE; P-RBF NNs; PCA; Cluster analysis; Parameter estimation; LDA, linear discriminant analysis; Image processing; Evolutionary algorithm; PCA, principal component analysis; Modeling; Optimization; Optimal design; System with n degrees of freedom; Multidimensional analysis; Functional module; Efficiency; FCM, Fuzzy C-Means; Center of mass; Classification; Facies; DE, differential evolution; Pretreatment; P-RBF NNs, polynomial-based radial basis; Partition; Computer vision; Discriminant analysis; Data analysis; Dimensionality; Face recognition; Optimal algorithm; function neural networks; Inference; Data processing; Pattern recognition; Neural network; Distributed system; Radial basis function; Polynomial function; Fuzzy logic; Experimental result; Solution structure; Principal component analysis