Pages that link to "Item:Q2316989"
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The following pages link to Extrinsic Gaussian processes for regression and classification on manifolds (Q2316989):
Displaying 13 items.
- Spectral convergence of graph Laplacian and heat kernel reconstruction in \(L^\infty\) from random samples (Q1979925) (← links)
- Shape modeling with spline partitions (Q2104021) (← links)
- Airflow recovery from thoracic and abdominal movements using synchrosqueezing transform and locally stationary Gaussian process regression (Q2157494) (← links)
- A Riemann-Stein kernel method (Q2676917) (← links)
- Gaussian Process Landmarking on Manifolds (Q5025781) (← links)
- (Q5053265) (← links)
- Intrinsic Gaussian Processes on Complex Constrained Domains (Q5234415) (← links)
- Gaussian Process Subspace Prediction for Model Reduction (Q5864693) (← links)
- Rates of the strong uniform consistency for the kernel-type regression function estimators with general kernels on manifolds (Q6044263) (← links)
- A scalable Matérn Gaussian process for learning spatial curves distributions (Q6125270) (← links)
- Intrinsic and extrinsic deep learning on manifolds (Q6200905) (← links)
- Shape-based functional data analysis (Q6557172) (← links)
- Rates of the strong uniform consistency with rates for conditional \(U\)-statistics estimators with general kernels on manifolds (Q6588237) (← links)