Multiple closed curve modeling with uncertainty quantification for shape analysis
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Publication:6645134
DOI10.1137/23m1590287MaRDI QIDQ6645134
Publication date: 28 November 2024
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Analysis of algorithms and problem complexity (68Q25) Graph theory (including graph drawing) in computer science (68R10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)
Cites Work
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- Estimating the Number of Clusters in a Data Set Via the Gap Statistic
- Elastic analysis of irregularly or sparsely sampled curves
- Riemannian optimization for registration of curves in elastic shape analysis
- Functional and shape data analysis
- Bayesian detection of image boundaries
- Generalized penalty for circular coordinate representation
- Statistical Shape Analysis, with Applications in R
- Gaussian Process Regression Analysis for Functional Data
- Curve fitting by polynomial-trigonometric regression
- Algorithms for smoothing data with periodic and parametric splines
- Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
- ESTIMATING THE NUMBER OF TERMS IN A SINUSOIDAL REGRESSION
- Statistical Modeling of Curves Using Shapes and Related Features
- Gaussian Process Landmarking on Manifolds
- A general framework for functional regression modelling
- Automatic Detection and Uncertainty Quantification of Landmarks on Elastic Curves
- Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
- Topological Optimization with Big Steps
- Smoothing Spline ANOVA Models
- From geometry to topology: inverse theorems for distributed persistence
- Simultaneous inference for misaligned multivariate functional data
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