Keywords: نمایندگی نامناسب; Low-rank representation; Feature extraction; Discriminative projection; Augmented lagrange multiplier;
مقالات ISI نمایندگی نامناسب (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: نمایندگی نامناسب; Human hand pose recovery; Neural network; Domain adaptation; Low-rank representation;
Keywords: نمایندگی نامناسب; Low-Rank Representation; Multi-view subspace learning; Clustering;
Keywords: نمایندگی نامناسب; Low-rank representation; Semi-supervised learning; Graph construction; Image classification;
Keywords: نمایندگی نامناسب; Subspace clustering; Low-rank representation; Semi-supervised classification; Large-scale data; Nuclear norm; Matrix factorization;
Keywords: نمایندگی نامناسب; Deep neural networks; Subspace clustering; Autoencoder; Low-rank representation;
Keywords: نمایندگی نامناسب; Matrix completion; Classification; Multi-task learning; Data imputation; Low-rank representation;
Keywords: نمایندگی نامناسب; Matrix factorization; Sparseness; Low-rank representation; Augmented Lagrangian method;
Keywords: نمایندگی نامناسب; Low-rank representation; Graph regularization; Data clustering; Rank constraint;
Keywords: نمایندگی نامناسب; Probabilistic trajectory space; Time-varying scenes; Non-rigid structure from motion; Low-rank representation; Factorization;
Keywords: نمایندگی نامناسب; Complex network; Community detection; Low-rank representation; Subspace learning;
Keywords: نمایندگی نامناسب; Fast optimization algorithm; Riemannian manifolds; Low-rank matrix variety; Low-rank representation; Subspace pursuit; Augmented Lagrange method; Clustering;
Keywords: نمایندگی نامناسب; Low-rank representation; Adaptive weighted matrix; Data clustering; Locality constraint;
Keywords: نمایندگی نامناسب; Low-rank representation; Manifold regularization; Sparsity regularization; Subspace learning; Dimensionality reduction;
Keywords: نمایندگی نامناسب; Graph construction; Machine learning; Sparse representation; Low-rank representation; Multi-graph learning; Brain network;
Keywords: نمایندگی نامناسب; Low-rank representation; Dimensionality reduction; Discriminative feature learning; Reconstruction relationship preserving projections;
Keywords: نمایندگی نامناسب; Low-rank representation; Subspace clustering; Affinity matrix learning; Spectral clustering;
Keywords: نمایندگی نامناسب; Low-rank representation; Unsupervised feature selection; Subspace learning; Feature self-representation; K-means clustering;
Keywords: نمایندگی نامناسب; Differentially expressed genes; Low-rank representation; Graph regularization; Genomic data;
Keywords: نمایندگی نامناسب; Nonlinear manifold clustering; Graph construction; Low-rank representation
Keywords: نمایندگی نامناسب; Saliency detection; Sparse representation; ICA algorithm; Low-Rank Representation; Global saliency; Local saliency
Keywords: نمایندگی نامناسب; Subspace segmentation; Sparse representation; low-rank representation; Normalize cut
Keywords: نمایندگی نامناسب; Image super-resolution; Low-rank representation; Sparse representation; Subspace; Cluster
Keywords: نمایندگی نامناسب; Face recognition; Low-rank representation; Dynamic subspace; Discriminative component; Occlusion
Keywords: نمایندگی نامناسب; Classification; Hyperspectral image (HSI); Dictionary learning; Sparse representation; Low-rank representation;
Keywords: نمایندگی نامناسب; Discriminative dictionary learning; Low-rank representation; Sparse representation; Face recognition; Classification;
Keywords: نمایندگی نامناسب; Palmprint recognition; Contactless palmprint image; Low-rank representation; Principal line distance;
Keywords: نمایندگی نامناسب; Brain network; Functional magnetic resonance imaging (fMRI); Pearson's correlation; Partial correlation; Sparse representation; Modularity; Low-rank representation; Mild cognitive impairment (MCI); Classification;
Keywords: نمایندگی نامناسب; Sparse representation; Low-rank representation; Matrix recovery; Graph regularization; Face recognition
Keywords: نمایندگی نامناسب; Subspace segmentation; Low-rank representation; Latent space; Robust coding;
Keywords: نمایندگی نامناسب; Normal estimation; Feature preserving; Low-rank representation; Least squares representation; Subspace segmentation
Keywords: نمایندگی نامناسب; Infrared target detection; Infrared target tracking; Low-rank representation; Weighted correlation filter; Multi-feature weighted function
Keywords: نمایندگی نامناسب; Low-rank representation; Sparse manifold adaption; Graph construction; Semi-supervised learning; Face recognition;
Keywords: نمایندگی نامناسب; Low-rank representation; Kernel trick; Sparse graphs; Semi-supervised learning; Pairwise constraints;
Keywords: نمایندگی نامناسب; Computer vision; Machine learning; Image resizing; Seam carving; Low-rank representation; Sparse coding
Keywords: نمایندگی نامناسب; Sparse representation; Low-rank representation; Matrix recovery; Dictionary learning; Face recognition; A low-rank projection matrix; Subspace; Eigenface
Keywords: نمایندگی نامناسب; Mitral valve leaflet; Surgical intervention; Constrained outlier pursuit; Low-rank representation; Region-scalable active contour
Keywords: نمایندگی نامناسب; Low-rank representation; Subspace recovery; Similarity preservation; Laplacian regularization; Enhanced representation; Feature learning
Keywords: نمایندگی نامناسب; Social network; Correlation estimation; Low-rank representation; Self-expressive matrix; Matrix recovery
Keywords: نمایندگی نامناسب; Orthonormal dictionary learning; Low-rank representation; Face recognition
Robust subspace clustering via penalized mixture of Gaussians
Keywords: نمایندگی نامناسب; Subspace clustering; Low-rank representation; Mixture of Gaussians; Expectation maximization;
A heterogeneous FMM for layered media Helmholtz equation I: Two layers in R2
Keywords: نمایندگی نامناسب; Helmholtz equation; Impedance boundary condition; Fast multipole method; Hierarchical model; Low-rank representation; Multi-layered media;
Feature self-representation based hypergraph unsupervised feature selection via low-rank representation
Keywords: نمایندگی نامناسب; Low-rank representation; Unsupervised feature selection; Feature self-representation; Multimodal; Hypergraph embedding;
Low-rank group inspired dictionary learning for hyperspectral image classification
Keywords: نمایندگی نامناسب; Classification; Hyperspectral image (HSI); Dictionary learning; Sparse representation; Low-rank representation;
Q-less QR decomposition in inner product spaces
Keywords: نمایندگی نامناسب; 15A06; 15A24; 15A30; 15A69; 15A72; 65F10; 65N22Column pivoting; Gram–Schmidt orthogonalization; Kronecker product; Large-scale problem; Linear equation; Low-rank representation; Multilinear algebra; QR decomposition; Tensor; Truncation
Low-rank 3D mesh segmentation and labeling with structure guiding
Keywords: نمایندگی نامناسب; Semantic mesh segmentation; Labeling; Low-rank representation; Structure guiding
Point cloud normal estimation via low-rank subspace clustering
Keywords: نمایندگی نامناسب; Normal estimation; Sharp feature preserving; Low-rank representation; Subspace clustering