Keywords: Human hand; Dimensionality reduction; Principal component analysis; Isomap; Postural synergies; Grasp reconstruction;
مقالات ISI (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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.
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: Yield; Standing biomass; Hay meadows; Isomap; Random forest; Gradient modelling; Remote sensing; Greater Caucasus;
Keywords: Isomap; Nonlinear dimensionality reduction; Manifold learning; Pattern analysis; Multi-manifold embedding
Keywords: HLLE; Hessian LLE; ISOMAP; isometric mapping; LLE; locally linear embedding; LTSA; local tangent space alignment; MCA; multiple correspondences analysis; MDS; multidimensional scaling; NLDR; nonlinear dimensionality reduction; PCA; principal components an
Keywords: Subspace clustering; Manifold; Isomap; Constrained shortest-path
Keywords: Manifold learning; Nonlinear dimensionality reduction; Incremental learning; ISOMAP; Design of algorithms
Keywords: Fréchet median; Functional data analysis; Isomap
Keywords: Classification; Collective motion; Fish schooling; Generative modeling; Isomap;
Keywords: Complex network; Community detection; Density-based clustering; Manifold learning; IsoMap
An enhanced 3D data transfer method for fluid–structure interface by ISOMAP nonlinear space dimension reduction
Keywords: Data transfer; Non-matching meshes; Nonlinear dimensionality reduction; ISOMAP; Self-parallel; Turbine blade
Learning orthogonal projections for Isomap
Keywords: Manifold learning; Isomap; Orthogonal projection
ISOMAP induced manifold embedding and its application to Alzheimer's disease and mild cognitive impairment
Keywords: Manifold embedding; ISOMAP; Alzheimer's disease; Mild cognitive impairment; Shape quantification; Morphometry
A visualization metric for dimensionality reduction
Keywords: Visualization; Dimensionality reduction; Metric; Manifold; Multidimensional scaling; Isomap; Locally Linear Embedding
In quest of the missing neuron: Spike sorting based on dominant-sets clustering
Keywords: Sparsely-firing neuron; Graph-theoretic clustering; ISOMAP; Dominant sets
An effective double-bounded tree-connected Isomap algorithm for microarray data classification
Keywords: Nonlinear dimensionality reduction; Isomap; Microarray data; Support vector machines
Trajectory analysis for user verification and recognition
Keywords: Account security; Bot detection; Dissimilarity measure; Isomap; Manifold learning; On-line game; Trajectory; Verification
Screening of prevailing processes that drive surface water quality of running waters in a cultivated wetland region of Germany - A multivariate approach
Keywords: BOD; biological oxygen demand; c; concentration; CarbH; carbonate hardness; CB; cascade belt; chla; chlorophyll a; cond; electric conductivity; DOC; dissolved organic carbon; Eh; redox potential; GIS; geographical information system; OSI; oxygen saturatio
An assessment of email and spontaneous dialog visualizations
Keywords: Data visualization; Multidimensional scaling; Isomap; Empirical evaluation; Human–computer interaction; Email; Spontaneous dialog
A tag-topic model for blog mining
Keywords: Blog mining; Weblog; Tags; Author-Topic model; Isomap; Latent Dirichlet Allocation;
Mapping classifiers and datasets
Keywords: Classifiers; Datasets; No free lunch theorem; PCA; Isomap
The use of hybrid manifold learning and support vector machines in the prediction of business failure
Keywords: Manifold learning; ISOMAP; Support vector machine; Business failure
Robust Positive semidefinite L-Isomap Ensemble
Keywords: Dimensionality reduction; Manifold learning; Nyström approximation; Isomap; Ensemble learning; High dimensional affine transformation
Programs for kriging and sequential Gaussian simulation with locally varying anisotropy using non-Euclidean distances
Keywords: Geostatistics; Resource; Estimation; Multidimensional scaling; Dijkstra; Stationarity; ISOMAP
Automatic configuration of spectral dimensionality reduction methods
Keywords: Dimensionality reduction; Locally Linear Embedding; Isomap; Laplacian Eigenmaps; Mutual information; Radial Basis Function network
Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity
Keywords: Spatiotemporal data; Nonlinear dimensionality reduction; Isomap; Time series analysis; Singular spectrum analysis; FAPAR
Quantifying empirical relations between planted species mixtures and canopy reflectance with PROTEST
Keywords: Isometric Feature Mapping; ISOMAP; Floristic gradients; Procrustes analysis; Remote sensing; Grassland; Spectral angle
NASS: An empirical approach to spike sorting with overlap resolution based on a hybrid noise-assisted methodology
Keywords: Spike sorting; ISOMAP; Extreme Learning Machine; Semi-supervised data learning;
Robust kernel Isomap
Keywords: Isomap; Kernel PCA; Manifold learning; Multidimensional scaling (MDS); Nonlinear dimensionality reduction
A circuit framework for robust manifold learning
Keywords: Manifold learning; Isomap; Laplacian Eigenmaps; Topological instability; Multidimensional scaling
An empirical evaluation of four data visualization techniques for displaying short news text similarities
Keywords: Data visualization; Multidimensional scaling; ISOMAP; Empirical evaluation; Human–computer interaction
Nonlinear discriminant mapping using the Laplacian of a graph
Keywords: Linear discriminant analysis; Isomap; Laplacian of a graph
Interaction rule learning with a human partner based on an imitation faculty with a simple visuo-motor mapping
Keywords: Imitation learning; Communication; Humanoid; ISOMAP
Selection of the optimal parameter value for the Isomap algorithm
Keywords: Nonlinear dimensionality reduction; Manifold learning; Isomap
Automatic dimensionality selection from the scree plot via the use of profile likelihood
Keywords: Data compression; Denoising; Isomap; Latent semantic indexing; Manifold learning; Principal component analysis (PCA); Resampling methods; Singular value decomposition (SVD)