Pages that link to "Item:Q4816852"
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The following pages link to Laplacian Eigenmaps for Dimensionality Reduction and Data Representation (Q4816852):
Displaying 50 items.
- Similarity, kernels, and the fundamental constraints on cognition (Q256393) (← links)
- On two continuum armed bandit problems in high dimensions (Q260274) (← links)
- A filtering technique for Markov chains with applications to spectral embedding (Q262948) (← links)
- A fast algorithm for manifold learning by posing it as a symmetric diagonally dominant linear system (Q262960) (← links)
- Local kernels and the geometric structure of data (Q265690) (← links)
- Bayesian manifold regression (Q282481) (← links)
- Deep kernel dimensionality reduction for scalable data integration (Q282928) (← links)
- Diffusion-based kernel methods on Euclidean metric measure spaces (Q285541) (← links)
- Learning from patches by efficient spectral decomposition of a structured kernel (Q285942) (← links)
- Hölder-Lipschitz norms and their duals on spaces with semigroups, with applications to earth mover's distance (Q305688) (← links)
- Impact of regularization on spectral clustering (Q309744) (← links)
- Optimization of the maximum likelihood estimator for determining the intrinsic dimensionality of high-dimensional data (Q327034) (← links)
- Embedding Riemannian manifolds by the heat kernel of the connection Laplacian (Q329518) (← links)
- On the incommensurability phenomenon (Q333335) (← links)
- Spatial-spectral operator theoretic methods for hyperspectral image classification (Q338713) (← links)
- Nearest-neighbor classifier motivated marginal discriminant projections for face recognition (Q352086) (← links)
- Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification (Q354181) (← links)
- State-space analysis of working memory in schizophrenia: an fBIRN study (Q358505) (← links)
- Localization from incomplete noisy distance measurements (Q358631) (← links)
- Sparse non Gaussian component analysis by semidefinite programming (Q374189) (← links)
- Wavelet packets for time-frequency analysis of multispectral imagery (Q381108) (← links)
- A supervised non-linear dimensionality reduction approach for manifold learning (Q408078) (← links)
- A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching (Q408814) (← links)
- Hierarchical shape segmentation and registration via topological features of Laplace-Beltrami eigenfunctions (Q408816) (← links)
- Predicting articulated human motion from spatial processes (Q409100) (← links)
- Discriminant sparse neighborhood preserving embedding for face recognition (Q411959) (← links)
- Path Laplacian matrices: introduction and application to the analysis of consensus in networks (Q417470) (← links)
- On the regularized Laplacian eigenmaps (Q419255) (← links)
- Nonlinear dimensionality reduction using a temporal coherence principle (Q433016) (← links)
- Semi-supervised wavelet shrinkage (Q434941) (← links)
- Face recognition using Elasticfaces (Q437774) (← links)
- Learning sparse gradients for variable selection and dimension reduction (Q439003) (← links)
- A tree-based regressor that adapts to intrinsic dimension (Q439996) (← links)
- Patch-to-tensor embedding (Q442517) (← links)
- Nonlinear manifold representations for functional data (Q450014) (← links)
- Constrained large margin local projection algorithms and extensions for multimodal dimensionality reduction (Q454445) (← links)
- Low-rank affinity based local-driven multilabel propagation (Q460450) (← links)
- A regularized graph layout framework for dynamic network visualization (Q468664) (← links)
- Supervised orthogonal discriminant subspace projects learning for face recognition (Q470166) (← links)
- Discrete Hessian eigenmaps method for dimensionality reduction (Q475660) (← links)
- Modularity revisited: a novel dynamics-based concept for decomposing complex networks (Q482724) (← links)
- Dimensionality reduction: an interpretation from manifold regularization perspective (Q506149) (← links)
- Regression analysis of locality preserving projections via sparse penalty (Q528758) (← links)
- Consistency of regularized spectral clustering (Q533498) (← links)
- A spectral notion of Gromov-Wasserstein distance and related methods (Q533501) (← links)
- Orientability and diffusion maps (Q544038) (← links)
- Persistent intersection homology (Q544802) (← links)
- Feature extraction using two-dimensional local graph embedding based on maximum margin criterion (Q555361) (← links)
- Learning gradients on manifolds (Q605040) (← links)
- On information plus noise kernel random matrices (Q605943) (← links)
