Keywords: مشکل کوچک اندازه نمونه; Small sample size problem; Probability distribution forecasting; Naïve Bayes; Bayesian network;
مقالات ISI مشکل کوچک اندازه نمونه (ترجمه نشده)
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Keywords: مشکل کوچک اندازه نمونه; Facial expression recognition; Dimensionality reduction; Small sample size problem; Manifold learning; Matrix exponential;
Keywords: مشکل کوچک اندازه نمونه; MMLDA; max-min linear discriminant analysis; RMMLDA; regularized max-min linear discriminant analysis; PCA; principal component analysis; LDA; linear discriminant analysis; SSS; small sample size problem; WLDA; worst-case linear discriminant analysis; MMD
Keywords: مشکل کوچک اندازه نمونه; Face recognition; Dimensionality reduction; Singular Value Decomposition; Small sample size problem; Sparse Representation based Classification; Transformation matrix; Row-orthonormal; Recognition accuracy;
Keywords: مشکل کوچک اندازه نمونه; Local maximal margin discriminant embedding; Locality preserving projection; Maximum margin criterion; Small sample size problem; Local structure; Appearance-based; Dimensionality reduction; Manifold learning; Face recognition
Keywords: مشکل کوچک اندازه نمونه; Feature extraction; Dimensionality reduction; Complete linear discriminant analysis; Null-space-based linear discriminant analysis; Small sample size problem;
Incremental learning from chunk data for IDR/QR
Keywords: مشکل کوچک اندازه نمونه; Feature extraction; Dimensionality reduction; Linear discriminant analysis; Small sample size problem; Incremental learning
A two-stage linear discriminant analysis for face-recognition
Keywords: مشکل کوچک اندازه نمونه; Two-stage linear discriminant analysis; Small sample size problem; Classification accuracy
Incremental learning of complete linear discriminant analysis for face recognition
Keywords: مشکل کوچک اندازه نمونه; Face recognition; Feature extraction; Dimensionality reduction; Small sample size problem; Incremental learning
A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matrices
Keywords: مشکل کوچک اندازه نمونه; Null LDA; Small Sample Size Problem; Dimensionality Reduction
Enhanced semi-supervised local Fisher discriminant analysis for face recognition
Keywords: مشکل کوچک اندازه نمونه; Face recognition; Dimensionality reduction; Small sample size problem; Semi-supervised local Fisher discriminant analysis; Enhanced semi-supervised local Fisher discriminant analysis
Incremental learning of discriminant common vectors for feature extraction
Keywords: مشکل کوچک اندازه نمونه; Feature extraction; Discriminant common vectors; QR-updating algorithm; Small sample size problem; Incremental algorithm
Incremental complete LDA for face recognition
Keywords: مشکل کوچک اندازه نمونه; Face recognition; Feature extraction; Dimensionality reduction; Small sample size problem; Incremental learning
Novel Fisher discriminant classifiers
Keywords: مشکل کوچک اندازه نمونه; Fisher subspace; Supervised learning; Discriminant techniques; Small sample size problem
A novel SVM+NDA model for classification with an application to face recognition
Keywords: مشکل کوچک اندازه نمونه; Linear discriminant analysis (LDA); Nonparametric discriminant analysis (NDA); Support vector machines (SVM); Kernel NDA and SVM; Small sample size problem; Face recognition
Generalized nonlinear discriminant analysis and its small sample size problems
Keywords: مشکل کوچک اندازه نمونه; Fisher discriminant analysis; Kernel trick; Small sample size problem
Exponential locality preserving projections for small sample size problem
Keywords: مشکل کوچک اندازه نمونه; Locality preserving projections; Small sample size problem; Matrix exponential; Facial recognition
Improved direct LDA and its application to DNA microarray gene expression data
Keywords: مشکل کوچک اندازه نمونه; Direct linear discriminant analysis; Small sample size problem; Dimensionality reduction
Face recognition using discriminant locality preserving projections based on maximum margin criterion
Keywords: مشکل کوچک اندازه نمونه; MMC; Locality preserving; Small sample size problem; Feature extraction; Face recognition
A novel Bayesian logistic discriminant model: An application to face recognition
Keywords: مشکل کوچک اندازه نمونه; Linear discriminant analysis; Logistic regression; Bayesian theory; Variational method; Mixture of Gaussians; Small sample size problem; Face recognition
Quotient vs. difference: Comparison between the two discriminant criteria
Keywords: مشکل کوچک اندازه نمونه; Feature extraction; Fisher linear discriminant analysis; Quotient criterion; Difference criterion; Small sample size problem; Large sample size problem
Direct kernel neighborhood discriminant analysis for face recognition
Keywords: مشکل کوچک اندازه نمونه; Direct kernel neighborhood preserving discriminant analysis; Face recognition; Linear discriminant analysis; Small sample size problem
Bagging null space locality preserving discriminant classifiers for face recognition
Keywords: مشکل کوچک اندازه نمونه; Locality preserving; Bagging; Discriminant analysis; Small sample size problem; Face recognition
Null space discriminant locality preserving projections for face recognition
Keywords: مشکل کوچک اندازه نمونه; Locality preserving projections; Null space discriminant locality preserving projections; Small sample size problem; Face recognition
Improved discriminate analysis for high-dimensional data and its application to face recognition
Keywords: مشکل کوچک اندازه نمونه; Linear discriminant analysis; Principal component analysis; Small sample size problem; Feature extraction; Face recognition
Improving implementation of linear discriminant analysis for the high dimension/small sample size problem
Keywords: مشکل کوچک اندازه نمونه; Linear discriminant analysis; Numerical aspects of FLDA; Small sample size problem; Dimension reduction; Sparsity
Why direct LDA is not equivalent to LDA
Keywords: مشکل کوچک اندازه نمونه; Linear discriminant analysis; Direct LDA; Small sample size problem
Random subspace method for multivariate feature selection
Keywords: مشکل کوچک اندازه نمونه; Feature selection; Random subspace method; Small sample size problem
Wavelet based discriminant analysis for face recognition
Keywords: مشکل کوچک اندازه نمونه; Linear discriminant analysis; Singular value decomposition; Small sample size problem; Regularization; Face recognition; Wavelet transform