Keywords: کاهش ابعاد غیر خطی; Random Projection; Homogeneous polynomial kernel; Nonlinear dimensionality reduction;
مقالات ISI کاهش ابعاد غیر خطی (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: کاهش ابعاد غیر خطی; Diffusion tensor images; High dimensional data; Nonlinear dimensionality reduction; Color perception; Algebraic multigrid; Multi-scale graph partitioning;
Keywords: کاهش ابعاد غیر خطی; Isomap; Nonlinear dimensionality reduction; Manifold learning; Pattern analysis; Multi-manifold embedding
Keywords: کاهش ابعاد غیر خطی; Manifold learning; Grand tour; Data visualisation; Nonlinear dimensionality reduction; Linear projections;
Keywords: کاهش ابعاد غیر خطی; Manifold learning; Nonlinear dimensionality reduction; Incremental learning; ISOMAP; Design of algorithms
Keywords: کاهش ابعاد غیر خطی; Landsat; Land cover classification; Time series; Nonlinear dimensionality reduction; WELD;
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Kernel principal component analysis; Manifold embedding quality; Multilevel kernel combinations
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Data visualisation; Jensen-Shannon divergence; Stochastic neighbour embedding;
Keywords: کاهش ابعاد غیر خطی; Inverse map; Nonlinear dimensionality reduction; Radial basis function; Interpolation; Nyström extension
Keywords: کاهش ابعاد غیر خطی; Machine learning; Manifold learning; Nonlinear dimensionality reduction
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Local structure alignment; Rank one tensor subspace; Image manifold
Keywords: کاهش ابعاد غیر خطی; Spectral embedding; Eigenfunction embedding; Eigenmap; Diffusion map; Global point signature; Heat kernel embedding; Shape registration; Nonlinear dimensionality reduction; Manifold learning
Keywords: کاهش ابعاد غیر خطی; Manifold learning; Nonlinear dimensionality reduction; Linear dimensionality reduction; Loss of quality; Quality assessment criteria
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Classification; Cancer microarray data;
Keywords: کاهش ابعاد غیر خطی; Visualization; Nonlinear Dimensionality Reduction; Cosine Distance; Extreme Learning Machines; Big Data; Projection
Local linear Laplacian eigenmaps: A direct extension of LLE
Keywords: کاهش ابعاد غیر خطی; Manifold learning; Direct extension of LLE; Local linear Laplacian eigenmaps (LLLE); Local linear structures; Nonlinear dimensionality reduction;
Kernel learning over the manifold of symmetric positive definite matrices for dimensionality reduction in a BCI application
Keywords: کاهش ابعاد غیر خطی; Brain computer interface; Nonlinear dimensionality reduction; Kernel learning; Riemannian geometry.
Multi-manifold Discriminant Isomap for visualization and classification
Keywords: کاهش ابعاد غیر خطی; Multi-manifold learning; Nonlinear dimensionality reduction; Visualization; Classification
An enhanced 3D data transfer method for fluid–structure interface by ISOMAP nonlinear space dimension reduction
Keywords: کاهش ابعاد غیر خطی; Data transfer; Non-matching meshes; Nonlinear dimensionality reduction; ISOMAP; Self-parallel; Turbine blade
Hyperspectral unmixing based on ISOMAP and spatial information
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; hyperspectral unmixing; isometric mapping; mixed pixel; spatial information
An improved set covering problem for Isomap supervised landmark selection
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Isometric feature mapping; Landmark selection; Set covering problem; Classification
UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; UL-Isomap; LIsomap; Hyperspectral imagery classification; Vector quantization; Landmark selection
Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds
Keywords: کاهش ابعاد غیر خطی; Manifold learning; Multi-cluster manifolds; Nonlinear dimensionality reduction; Passage method
Nonlinear manifold learning for model reduction in finite elastodynamics
Keywords: کاهش ابعاد غیر خطی; Reduced order modeling; Nonlinear dimensionality reduction; Finite deformation elastodynamics; Maximum entropy approximants; Variational integrators
Visualizing the quality of dimensionality reduction
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Data visualization; Quality assessment; Co-ranking matrix
Kernel ridge regression for out-of-sample mapping in supervised manifold learning
Keywords: کاهش ابعاد غیر خطی; Supervised manifold learning; Nonlinear dimensionality reduction; Supervised isomap; Kernel ridge regression; Classification
An effective double-bounded tree-connected Isomap algorithm for microarray data classification
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Isomap; Microarray data; Support vector machines
Locally linear embedding based on correntropy measure for visualization and classification
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Correntropy; Locally linear embedding; Class label information; Visualization; Classification;
A new embedding quality assessment method for manifold learning
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Data analysis
On the regularized Laplacian eigenmaps
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Regularized Laplacian eigenmaps; Graph Laplacian; Learning rate
A new quality assessment criterion for nonlinear dimensionality reduction
Keywords: کاهش ابعاد غیر خطی; Manifold learning; Nonlinear dimensionality reduction; Pattern recognition; Quality assessment
An improved local tangent space alignment method for manifold learning
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Data mining
Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity
Keywords: کاهش ابعاد غیر خطی; Spatiotemporal data; Nonlinear dimensionality reduction; Isomap; Time series analysis; Singular spectrum analysis; FAPAR
Nonlinear dimensionality reduction of gene expression data for visualization and clustering analysis of cancer tissue samples
Keywords: کاهش ابعاد غیر خطی; Gene expression; Nonlinear dimensionality reduction; Visualization; Clustering analysis; Cancer tissue
An automatic patient-specific seizure onset detection method in intracranial EEG based on incremental nonlinear dimensionalityreduction
Keywords: کاهش ابعاد غیر خطی; Seizure onset detection; Nonlinear dimensionality reduction; IEEG; Incremental learning
Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture
Keywords: کاهش ابعاد غیر خطی; Dynamic texture; Nonlinear dimensionality reduction; Hybrid distance isometric embedding; Video trajectory
Incremental Laplacian eigenmaps by preserving adjacent information between data points
Keywords: کاهش ابعاد غیر خطی; Laplacian eigenmaps; Incremental learning; Locally linear construction; Nonlinear dimensionality reduction
Subspace manifold learning with sample weights
Keywords: کاهش ابعاد غیر خطی; Subspace learning; Nonlinear dimensionality reduction; Locally linear embedding; Face recognition
Intrinsic dimension estimation of manifolds by incising balls
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Intrinsic dimension estimation; Data mining
Generalized orthogonal locality preserving projections for nonlinear fault detection and diagnosis
Keywords: کاهش ابعاد غیر خطی; Fault detection; Fault diagnosis; Nonlinear dimensionality reduction; Structure preserving; Kernel methods
Joint trajectory tracking and recognition based on bi-directional nonlinear learning
Keywords: کاهش ابعاد غیر خطی; Visual tracking; Trajectory generative model; Autoencoder network; Nonlinear dimensionality reduction; Particle filter; Improved Hausdorff distance
Local linear transformation embedding
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Locally linear embedding; Local tangent space alignment
Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Distance-based data projection method; Trade-off between trustworthiness and continuity; Optimization on manifolds
Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database
Keywords: کاهش ابعاد غیر خطی; Proton magnetic resonance spectroscopy; Brain tumours; Outlier detection; Nonlinear dimensionality reduction; Feature selection; Medical decision support systems
Weighted locally linear embedding for dimension reduction
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Feature extraction; Locally linear embedding
Supervised kernel neighborhood preserving projections for radar target recognition
Keywords: کاهش ابعاد غیر خطی; Nonlinear dimensionality reduction; Manifold learning; Neighborhood preserving projections; Kernel technique; Radar target recognition
Improving geodesic distance estimation based on locally linear assumption
Keywords: کاهش ابعاد غیر خطی; Isometric feature mapping; Geodesic distance estimation; Neighborhood graph; Nonlinear dimensionality reduction
Robust kernel Isomap
Keywords: کاهش ابعاد غیر خطی; Isomap; Kernel PCA; Manifold learning; Multidimensional scaling (MDS); Nonlinear dimensionality reduction
Nonlinear dimensionality reduction: Alternative ordination approaches for extracting and visualizing biodiversity patterns in tropical montane forest vegetation data
Keywords: کاهش ابعاد غیر خطی; Vegetation data; Ordination; Isometric Feature Mapping (Isomap); Multidimensional Scaling (MDS); Nonlinear dimensionality reduction; Geodesic distances; Secondary mountain tropical rain forests; Ecuador
Face recognition using a kernel fractional-step discriminant analysis algorithm
Keywords: کاهش ابعاد غیر خطی; Face recognition; Feature extraction; Nonlinear dimensionality reduction; Kernel discriminant analysis; Kernel fractional-step discriminant analysis