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Symmetrical Two-Dimensional PCA with Image Measures in Face Recognition
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-72393-6_124openalex-snapshot
Symmetry Based Two-Dimensional Principal Component Analysis for Face Recognition
inferredcites →https://doi.org/10.1016/c2009-0-61134-xopenalex-snapshot
Parameter Estimation and Inverse Problems
inferredcites →https://doi.org/10.1016/j.neucom.2006.10.019openalex-snapshot
Kernel based symmetrical principal component analysis for face classification
inferredcites →https://doi.org/10.1016/j.patcog.2005.08.002openalex-snapshot
Diagonal principal component analysis for face recognition
inferredcites →https://doi.org/10.1016/j.patcog.2005.08.015openalex-snapshot
Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition
inferredcites →https://doi.org/10.1016/j.patcog.2006.06.002openalex-snapshot
Further results on the subspace distance
inferredcites →https://doi.org/10.1016/j.patcog.2007.12.001openalex-snapshot
Two-dimensional Laplacianfaces method for face recognition
inferredcites →https://doi.org/10.1016/j.patrec.2004.09.007openalex-snapshot
2D-LDA: A statistical linear discriminant analysis for image matrix
inferredcites →https://doi.org/10.1016/j.patrec.2007.01.015openalex-snapshot
Volume measure in 2DPCA-based face recognition
inferredcites →https://doi.org/10.1016/s0074-6142(05)x8014-7openalex-snapshot
Parameter Estimation and Inverse Problems
inferredcites →https://doi.org/10.1109/34.41390openalex-snapshot
Application of the Karhunen-Loeve procedure for the characterization of human faces
inferredcites →https://doi.org/10.1109/34.879790openalex-snapshot
The FERET evaluation methodology for face-recognition algorithms
inferredcites →https://doi.org/10.1109/icacia.2008.4770044openalex-snapshot
S2DPCA with DM and FM in Face Recognition
inferredcites →https://doi.org/10.1109/icip.2002.1039896openalex-snapshot
Symmetrical PCA in face recognition
inferredcites →https://doi.org/10.1109/ijcnn.2005.1555814openalex-snapshot
Generalized 2d principal component analysis
inferredcites →https://doi.org/10.1109/tip.2006.884929openalex-snapshot
Multilinear Discriminant Analysis for Face Recognition
inferredcites →https://doi.org/10.1109/tpami.2004.1261097openalex-snapshot
Two-dimensional pca: a new approach to appearance-based face representation and recognition
inferredcites →https://doi.org/10.1109/tpami.2006.244openalex-snapshot
Face Description with Local Binary Patterns: Application to Face Recognition
inferredcites →https://doi.org/10.1109/tsmcb.2006.872274openalex-snapshot
Bidirectional PCA with assembled matrix distance metric for image recognition
inferredcites →https://doi.org/10.1109/tsmcb.2007.899415openalex-snapshot
Comments on "On Image Matrix Based Feature Extraction Algorithms
inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
inferredcites →https://doi.org/10.5772/743openalex-snapshot
Reviews, Refinements and New Ideas in Face Recognition
inferredcites →https://doi.org/10.5772/8949openalex-snapshot
An Extension of Principal Component Analysis
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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LS-GSNO and CWSNO Enhancement Processes Using PCA Algorithm with LOOCV of R-SM Technique for Effective Face Recognition Approach
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Face Recognition Approach Based on the Integration of Image Preprocessing, CMLABP and PCA Methods
inferred← citeshttps://doi.org/10.37917/ijeee.13.1.12openalex-snapshot
Face Recognition Approach Based on the Integration of Image Preprocessing, CMLABP and PCA Methods
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Conventional Machine Learning and Ensemble Learning Techniques in Cardiovascular Disease Prediction and Analysis
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An Efficient Hybrid Face Recognition Algorithm Using PCA and GABOR Wavelets
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