Pages that link to "Item:Q265690"
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The following pages link to Local kernels and the geometric structure of data (Q265690):
Displaying 39 items.
- Diffusion-based kernel methods on Euclidean metric measure spaces (Q285541) (← links)
- Koopman spectra in reproducing kernel Hilbert spaces (Q778031) (← links)
- Variable bandwidth diffusion kernels (Q900774) (← links)
- Density estimation on manifolds with boundary (Q1658472) (← links)
- Time coupled diffusion maps (Q1669071) (← links)
- Iterated diffusion maps for feature identification (Q1748254) (← links)
- Diffusion representation for asymmetric kernels (Q2029166) (← links)
- Reproducing kernel Hilbert space compactification of unitary evolution groups (Q2036491) (← links)
- Fractional diffusion maps (Q2036494) (← links)
- A survey of statistical learning techniques as applied to inexpensive pediatric obstructive sleep apnea data (Q2072600) (← links)
- Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques (Q2125604) (← links)
- Multi-view kernel consensus for data analysis (Q2175021) (← links)
- A geometric heat-flow theory of Lagrangian coherent structures (Q2190705) (← links)
- Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernel (Q2222359) (← links)
- Extraction and prediction of coherent patterns in incompressible flows through space-time koopman analysis (Q2222732) (← links)
- Delay-coordinate maps, coherence, and approximate spectra of evolution operators (Q2226535) (← links)
- Diffusion maps tailored to arbitrary non-degenerate Itô processes (Q2278457) (← links)
- Delay-coordinate maps and the spectra of Koopman operators (Q2315148) (← links)
- Data-driven spectral decomposition and forecasting of ergodic dynamical systems (Q2325539) (← links)
- Spatiotemporal pattern extraction by spectral analysis of vector-valued observables (Q2327837) (← links)
- The diffusion geometry of fibre bundles: horizontal diffusion maps (Q2659718) (← links)
- Kernel-based methods for solving time-dependent advection-diffusion equations on manifolds (Q2680323) (← links)
- Computing committors in collective variables via Mahalanobis diffusion maps (Q2689136) (← links)
- Nonparametric Uncertainty Quantification for Stochastic Gradient Flows (Q2945163) (← links)
- Manifold learning for organizing unstructured sets of process observations (Q3303828) (← links)
- Koopman analysis of the long-term evolution in a turbulent convection cell (Q4582914) (← links)
- Manifold learning with bi-stochastic kernels (Q5009233) (← links)
- Balancing Geometry and Density: Path Distances on High-Dimensional Data (Q5037564) (← links)
- Spectral Discovery of Jointly Smooth Features for Multimodal Data (Q5070856) (← links)
- A Geometric Approach to the Transport of Discontinuous Densities (Q5119637) (← links)
- Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds (Q5139358) (← links)
- Dynamics-Adapted Cone Kernels (Q5249799) (← links)
- A spectral series approach to high-dimensional nonparametric regression (Q5965330) (← links)
- Ghost Point Diffusion Maps for Solving Elliptic PDEs on Manifolds with Classical Boundary Conditions (Q6179347) (← links)
- Diffusion maps for embedded manifolds with boundary with applications to PDEs (Q6185683) (← links)
- Ensemble forecasts in reproducing kernel Hilbert space family (Q6191535) (← links)
- Conditional expectation using compactification operators (Q6499002) (← links)
- Discovering causal structure with reproducing-kernel Hilbert space \(\epsilon\)-machines (Q6561178) (← links)
- Geometric triangulations and discrete Laplacians on manifolds: an update (Q6579117) (← links)
