Pages that link to "Item:Q2954239"
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The following pages link to A fully data-driven method for estimating the shape of a point cloud (Q2954239):
Displaying 15 items.
- Practical shape analysis and segmentation methods for point cloud models (Q669002) (← links)
- Methods for estimation of convex sets (Q1730906) (← links)
- Rolling-ball method for estimating the boundary of the support of a point-process intensity. (Méthode de roulement pour l'estimation de la frontière du support de l'intensité d'un processus ponctuel) (Q1863430) (← links)
- Recovering the shape of a point cloud in the plane (Q1945054) (← links)
- A data-adaptive method for estimating density level sets under shape conditions (Q2148994) (← links)
- Spatial distribution of invasive species: an extent of occurrence approach (Q2161020) (← links)
- Convergence rate for the \(\lambda \)-medial-axis estimation under regularity conditions (Q2323939) (← links)
- Detection, classification and estimation of individual shapes in 2D and 3D point clouds (Q2361198) (← links)
- Comments on: Overview of object oriented data analysis (Q2922179) (← links)
- Level Set and Density estimation on Manifolds (Q3300625) (← links)
- Generic Fitting in Point Clouds (Q4554016) (← links)
- Nonparametric estimation of highest density regions for COVID-19 (Q5102532) (← links)
- Minimax Estimation of the Volume of a Set Under the Rolling Ball Condition (Q5242466) (← links)
- Universally consistent estimation of the reach (Q6101692) (← links)
- Computable bounds for the reach and \(r\)-convexity of subsets of \({{\mathbb{R}}}^d\) (Q6662768) (← links)
