morphological principal component analysis
Morphological based Face Detection& Recognition with Principal Component Analysis
... Morphological shared weight neural network (MSNN) is one of the methods in face detection and face ...work, morphological hit miss transform is used to detect the face in input ...applying Principal ...
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Epilepsy EEG classification using morphological component analysis
... Independent component analysis; IMF: Intrinsic mode function; KNN: K nearest neighbor; ...MCA: Morphological component analysis; MLP: Multilayer perceptron; NN: Nearest neighbor; PC: ...
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EVALUATION OF GENETIC DIVERSITY IN AERIAL YAM (Dioscorea bulbifera L) USING QUALITATIVE AND QUANTITATIVE MORPHOLOGICAL TRAITS.
... Principal component analysis (PCA) of eight quantitative morphological traits studied showed two principal components and explained ...the analysis of variance (ANOVA) results ...
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Orthogonalise Digital Morphological Features Using Principal Component Analysis
... digital morphological features to five principal ...digital morphological features are ...digital morphological features it is difficult to proceed for further for plant ...digital ...
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AGROMORPHOLOGICAL VARIABILITY OF PEARL MILLET ( Pennisetum glaucum (L.) R. Br.) CULTIVARS GROWN IN BENIN
... discriminant analysis, principal component analysis and hierarchical ascendant classification has identified three morphological classes based on 16 quantitative traits and 8 ...
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Examining the validity and reliability of the Activities Specific Balance Confidence Scale 6 (ABC 6) in a diverse group of older adults
... a principal site of pathogenesis in age-related macular de- generation ...use principal component analysis (PCA) or functional principal component method (FPCA), support vector ...
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Online Tensor Robust Principal Component Analysis
... In many fields of modern data analysis, the observed data are not necessarily the prime objects of interest. The computer steering a driverless car should pay more attention to objects moving across the foreground ...
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A Scheme of Human Face Recognition in Complex Environments
... Face recognition algorithms have been studies and evaluated. A research question has been formulated based on the literature review and related work. A prototype of moving object removal is developed. The moving object ...
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A Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition
... Then morphological component analysis was used for the synthetic signal. In MCA. the number of iterations was set as 100, select discrete cosine transform (DCT) dictionary to characterize the ...
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An Eigenvalue test for spatial principal component analysis
... Previous analysis on these data detected a clear genetic structure from West to Central Africa with ongoing stepping stone migration ...the analysis, for which allele frequencies of ...
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II. THE CLASSICAL PRINCIPAL COMPONENT ANALYSIS (PCA)
... Abstract—Principal Component Analysis (PCA) is a technique to transform the original set of variables into a smaller set of linear combinations that account for most of the original set ...
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A Review of Constrained Principal Component Analysis (CPCA) with Application on Bootstrap
... correspondence analysis, Nonsymmetric correspondence analysis, Multiple Set CANO, Multiple Correspondence Analysis, Vector Preference Models, Seemingly Unrelated Regression (SUR), Weighted Low Rank ...
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Dimensionality Reduction of Image Feature Based on Mean Principal Component Analysis
... The principal component analysis is based on the covariance ...the principal components will vary between dimension and the change of the order of ...
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Sources Affecting PM2 5 Concentrations at a Rural Semi Arid Coastal Site in South Texas
... CPF analysis of biomass burns apportioned by PMF2 at CAMS 314 as illustrated in Figure 4 showed similar directional probabilities with major contribution from the northeast and significant levels from south- ...
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Morphological Component Analysis for Differentiability of Textures
... of morphological component analysis (MCA) which allows texture to be separated into multiple morphological components each representing a different visual characteristic of ...texture ...
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MFPCA: Multiscale Functional Principal Component Analysis
... as predicting MS status based on fractional anisotropy. To answer this question, we study classification of MS patients and healthy subjects using a random forest classifier based on the scores derived from the first K ...
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Principal Component Analysis with SVM for Disease Diagnosis
... In 2013, Chih-Wen et al. [3] have developed and offered an ICU support system icuARM, which was on the basis of „Associate Rule Mining (ARM)‟, and they have also constructed a publicly open database MIMIC-II ...
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Principal Component Analysis of Volatility Smiles and Skews
... The empirical analysis has revealed two distinct regimes for short-term volatility in equity markets. In stable markets the range of the 1 month skew narrows as the index moves up and widens as the index moves ...
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Association tests based on the principal component analysis
... marker analysis in the association ...the principal-component (PC) association test as an alternative to the haplotype-based association ...the analysis of the Genetic Analysis Workshop ...
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Face Recognition Using Principal Component Analysis
... on Principal Component Analysis based and LDA and then on Neural Network used combining Neural Network and Genetic Algorithm and some are on combining Principal Component ...
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