Keywords: هسته PCA; Principal component analysis (PCA); Kernel PCA; Reduced kernel PCA; Dictionary; Dynamic process; Fault detection;
مقالات ISI هسته PCA (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: هسته PCA; Kernel PCA; Root-cause fault diagnosis; Symbolic dynamic-based normalized transfer entropy (SDNTE); Joint xD-Markov machine;
Keywords: هسته PCA; Manifold learning; Kernel PCA; Diffusion Maps; Diffusion distance; Distance preservation;
Keywords: هسته PCA; Multi-instance classification; Kernel PCA; Kernel spectral clustering;
Keywords: هسته PCA; Kernel PCA; Eigen-decomposition; Empirical kernel map; Random projection
Keywords: هسته PCA; Dimensionality reduction; Kernel PCA; Diffusion-based kernel; Measure-based information; Grid construction; Data discretization
Keywords: هسته PCA; Parameterized partial differential equations; Gaussian process emulation; High dimensionality; Manifold learning; Inverse mapping; Kernel PCA; Diffusion maps;
Keywords: هسته PCA; Entropy; Kernel ECA; Kernel PCA; Multivariate drought index;
Keywords: هسته PCA; Dimensionality reduction; Manifold learning; Kernel PCA; Diffusion maps; Diffusion distance; Distance preservation
Keywords: هسته PCA; Probabilistic graphical model structure learning; Constraint-based algorithm; Karhunen–Loève (KL) expansion; Polynomial chaos expansion; Kernel PCA
On application of kernel PCA for generating stimulus features for fMRI during continuous music listening
Keywords: هسته PCA; Functional magnetic resonance imaging (fMRI); Naturalistic fMRI; Kernel PCA; Music stimulus; Musical features; Feature generation;
Passive RFID sensor systems for crack detection & characterization
Keywords: هسته PCA; Antenna sensor; Kernel PCA; Characteristic mode; Crack detection; Fusion; Radio frequency identification (RFID); Structural health monitoring (SHM);
Kernel principal component analysis residual diagnosis (KPCARD): An automated method for cosmic ray artifact removal in Raman spectra
Keywords: هسته PCA; Cosmic ray artifacts; Raman spectroscopy; Correction; Kernel PCA; Quantitative
Active contour model and nonlinear shape priors with application to left ventricle segmentation in cardiac MR images
Keywords: هسته PCA; Image segmentation; Left ventricle segmentation; Level set method; Kernel PCA; Shape prior
Regularized kernel PCA for the efficient parameterization of complex geological models
Keywords: هسته PCA; Geological parameterization; Kernel PCA; KPCA; Reservoir modeling; History matching; Bayesian inversion; Inverse modeling; Data assimilation; Dimension reduction;
A dictionary learning and KPCA-based feature extraction method for off-line handwritten Tibetan character recognition
Keywords: هسته PCA; Kernel PCA; Dictionary learning; Tibetan; Character recognition; Feature extraction;
Denoising by semi-supervised kernel PCA preimaging
Keywords: هسته PCA; Semi-supervised denoising; Kernel PCA; Pre-image problem
Modeling and monitoring of multimode process based on subspace separation
Keywords: هسته PCA; Batch process; Multimode process monitoring; Kernel PCA; Subspace separation
Non-negativity constraints on the pre-image for pattern recognition with kernel machines
Keywords: هسته PCA; Kernel machines; Machine learning; SVM; Kernel PCA; Pre-image problem; Non-negativity constraints; Nonlinear denoising; Pattern recognition
Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation
Keywords: هسته PCA; Multivariate analysis; Classification; Decoding; Nonlinear modeling; Kernel PCA; Pre-image estimation; NPAIRS resampling;
A novel linear ridgelet network approach for analog fault diagnosis using wavelet-based fractal analysis and kernel PCA as preprocessors
Keywords: هسته PCA; Analog circuits; Fault diagnosis; Kernel PCA; Linear ridgelet network; Wavelet-based fractal analysis
Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI
Keywords: هسته PCA; Kernel PCA; Pre-image estimation; Denoising; Sparsity; Reproducibility; Functional MRI
Unsupervised feature extraction via kernel subspace techniques
Keywords: هسته PCA; Kernel PCA; Feature extraction and low-rank decompositions
A general kernelization framework for learning algorithms based on kernel PCA
Keywords: هسته PCA; Kernel method; Learning algorithm; Kernel PCA; Two-stage framework
On-line batch process monitoring using batch dynamic kernel principal component analysis
Keywords: هسته PCA; Batch; Process monitoring; Kernel PCA; Dynamic; Nonlinear; AKM
SVM-based CAD system for early detection of the Alzheimer's disease using kernel PCA and LDA
Keywords: هسته PCA; SPECT; Kernel PCA; LDA; Computer-aided diagnosis; Alzheimer's disease; Support vector machine
Moving window kernel PCA for adaptive monitoring of nonlinear processes
Keywords: هسته PCA; Nonlinear process; Kernel PCA; Moving window; Multivariate statistical process control; Adaptive; Numerically efficient
Information compression and speckle reduction for multifrequency polarimetric SAR images based on kernel PCA*
Keywords: هسته PCA; kernel PCA; multifrequency polarimetric SAR imagery; information compression; despeckling;
Enhanced discrimination and calibration of biomass NIR spectral data using non-linear kernel methods
Keywords: هسته PCA; Near infrared; Biomass; Ash content; Kernel PCA; Kernel PLS
3D head model retrieval in kernel feature space using HSOM
Keywords: هسته PCA; 3D head model retrieval; Multimedia retrieval; Kernel feature space; Kernel PCA; HSOM
Gabor feature-based apple quality inspection using kernel principal component analysis
Keywords: هسته PCA; Gabor wavelet; Principal component analysis (PCA); Kernel PCA; Gabor-based kernel PCA; Apple quality inspection; Near-infrared
Robust kernel Isomap
Keywords: هسته PCA; Isomap; Kernel PCA; Manifold learning; Multidimensional scaling (MDS); Nonlinear dimensionality reduction
Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer
Keywords: هسته PCA; Inverse problem; Regularization; Support vector machines; Kernel PCA; Leaf area index
Generating frontal view face image for pose invariant face recognition
Keywords: هسته PCA; PCA; Kernel PCA; Pose transformation; Discriminant analysis; Pose invariant face recognition
Correspondence matching using kernel principal components analysis and label consistency constraints
Keywords: هسته PCA; Non-rigid motion; Correspondence matching; Graph spectral methods; Kernel PCA; Constraints