Pages that link to "Item:Q4816852"

The following pages link to Laplacian Eigenmaps for Dimensionality Reduction and Data Representation (Q4816852):

Displaying 50 items.

• Multilayer bootstrap networks (Q2179833) (← links)
• Lp- and Ls-norm distance based robust linear discriminant analysis (Q2181096) (← links)
• Equivalence of \(L_p\) diffusion approximation and a function's diffusion smoothness (Q2182458) (← links)
• Flexible unsupervised feature extraction for image classification (Q2183667) (← links)
• Flexible non-greedy discriminant subspace feature extraction (Q2183679) (← links)
• Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint (Q2185776) (← links)
• Robust dimensionality reduction via feature space to feature space distance metric learning (Q2188211) (← links)
• Certifying global optimality of graph cuts via semidefinite relaxation: a performance guarantee for spectral clustering (Q2189394) (← links)
• A geometric heat-flow theory of Lagrangian coherent structures (Q2190705) (← links)
• Central limit theorems for classical multidimensional scaling (Q2192306) (← links)
• Iterative multiplicative filters for data labeling (Q2193779) (← links)
• \textit{Kernel cuts}: kernel and spectral clustering meet regularization (Q2193808) (← links)
• Unsupervised binary representation learning with deep variational networks (Q2193830) (← links)
• LRA: local rigid averaging of stretchable non-rigid shapes (Q2193872) (← links)
• Error estimates for spectral convergence of the graph Laplacian on random geometric graphs toward the Laplace-Beltrami operator (Q2194775) (← links)
• Flexible semi-supervised embedding based on adaptive loss regression: application to image categorization (Q2195309) (← links)
• The stability of the first Neumann Laplacian eigenfunction under domain deformations and applications (Q2197953) (← links)
• Approximation of functions over manifolds: a moving least-squares approach (Q2199793) (← links)
• Linear regression based projections for dimensionality reduction (Q2200579) (← links)
• The homotopy significant spectrum compared to the Krasnoselskii spectrum (Q2210533) (← links)
• Hyperspectral image unsupervised classification by robust manifold matrix factorization (Q2213114) (← links)
• A manifold learning approach to dimensionality reduction for modeling data (Q2214972) (← links)
• Manifold approximation by moving least-squares projection (MMLS) (Q2216655) (← links)
• A semi-supervised model for knowledge graph embedding (Q2218397) (← links)
• Extraction and prediction of coherent patterns in incompressible flows through space-time koopman analysis (Q2222732) (← links)
• Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders (Q2223001) (← links)
• The geometry of synchronization problems and learning group actions (Q2223632) (← links)
• Delay-coordinate maps, coherence, and approximate spectra of evolution operators (Q2226535) (← links)
• Deep autoencoders for physics-constrained data-driven nonlinear materials modeling (Q2237774) (← links)
• Bi-stochastic kernels via asymmetric affinity functions (Q2252136) (← links)
• Diffusion maps for changing data (Q2252180) (← links)
• Cover-based bounds on the numerical rank of Gaussian kernels (Q2252212) (← links)
• Inverting nonlinear dimensionality reduction with scale-free radial basis function interpolation (Q2252510) (← links)
• Learning sets with separating kernels (Q2252512) (← links)
• Fast discriminative stochastic neighbor embedding analysis (Q2262015) (← links)
• Dimensionality reduction by supervised neighbor embedding using Laplacian search (Q2262566) (← links)
• Eigenmaps and minimal and bandlimited immersions of graphs into Euclidean spaces (Q2268074) (← links)
• Feature extraction based on Laplacian bidirectional maximum margin criterion (Q2270692) (← links)
• Finding representative landmarks of data on manifolds (Q2270693) (← links)
• Enhanced graph-based dimensionality reduction with repulsion Laplaceans (Q2270698) (← links)
• Graph characteristics from the heat kernel trace (Q2270728) (← links)
• Tensor linear Laplacian discrimination (TLLD) for feature extraction (Q2270824) (← links)
• Stable local dimensionality reduction approaches (Q2270841) (← links)
• Manifold topological multi-resolution analysis method (Q2275962) (← links)
• A multi-manifold discriminant analysis method for image feature extraction (Q2275963) (← links)
• Transfer latent variable model based on divergence analysis (Q2275988) (← links)
• Diffusion maps tailored to arbitrary non-degenerate Itô processes (Q2278457) (← links)
• Connecting dots: from local covariance to empirical intrinsic geometry and locally linear embedding (Q2278820) (← links)
• Efficient learning of supervised kernels with a graph-based loss function (Q2282120) (← links)
• Optimal landmark point selection using clustering for manifold modeling and data classification (Q2283317) (← links)