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08/14/2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
This paper focuses on the statistical analysis of shapes of data objects...
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05/17/2023
Learning Pose Image Manifolds Using Geometry-Preserving GANs and Elasticae
This paper investigates the challenge of learning image manifolds, speci...
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05/08/2023
Peak-Persistence Diagrams for Estimating Shapes and Functions from Noisy Data
Estimating signals underlying noisy data is a significant problem in sta...
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11/28/2022
Statistical Shape Analysis of Shape Graphs with Applications to Retinal Blood-Vessel Networks
This paper provides theoretical and computational developments in statis...
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03/22/2022
Data-Driven, Soft Alignment of Functional Data Using Shapes and Landmarks
Alignment or registration of functions is a fundamental problem in stati...
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10/17/2021
On the Statistical Analysis of Complex Tree-shaped 3D Objects
How can one analyze detailed 3D biological objects, such as neurons and ...
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09/08/2021
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks
Empirically multidimensional discriminator (critic) output can be advant...
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06/10/2021
Dynamic Shape Modeling to Analyze Modes ofMigration During Cell Motility
This paper develops a generative statistical model for representing, mod...
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05/24/2021
Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD
There is increasing evidence on the importance of brain morphology in pr...
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05/18/2021
Shape Analysis of Functional Data with Elastic Partial Matching
Elastic Riemannian metrics have been used successfully in the past for s...
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01/23/2021
4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
We propose a novel framework to learn the spatiotemporal variability in ...
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08/25/2020
Data Science for Motion and Time Analysis with Modern Motion Sensor Data
The motion-and-time analysis has been a popular research topic in operat...
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07/08/2020
Statistical shape analysis of brain arterial networks (BAN)
Structures of brain arterial networks (BANs) - that are complex arrangem...
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04/25/2020
Agent-Level Pandemic Simulation (ALPS) for Analyzing Effects of Lockdown Measures
This paper develops an agent-level simulation model, termed ALPS, for si...
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02/29/2020
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
Past approaches for statistical shape analysis of objects have focused m...
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09/30/2019
A Quotient Space Formulation for Statistical Analysis of Graphical Data
Complex analyses involving multiple, dependent random quantities often l...
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09/23/2019
Intensity Estimation for Poisson Process with Compositional Noise
Intensity estimation for Poisson processes is a classical problem and ha...
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09/05/2019
Regression Models Using Shapes of Functions as Predictors
Functional variables are often used as predictors in regression problems...
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05/16/2019
Statistical Analysis and Modeling of the Geometry and Topology of Plant Roots
Root is an important organ of a plant since it is responsible for water ...
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04/26/2019
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
This paper studies change-points in human brain functional connectivity ...
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04/10/2019
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
Human brain functional connectivity (FC) is often measured as the simila...
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05/29/2018
Elastic Functional Principal Component Regression
We study regression using functional predictors in situations where thes...
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05/11/2018
Robust Comparison of Kernel Densities on Spherical Domains
While spherical data arises in many contexts, including in directional s...
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04/04/2018
Shape-Constrained Univariate Density Estimation
While the problem of estimating a probability density function (pdf) fro...
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10/14/2016
Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces
Recent developments in elastic shape analysis (ESA) are motivated by the...
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03/07/2016
Elastic Functional Coding of Riemannian Trajectories
Visual observations of dynamic phenomena, such as human actions, are oft...
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04/01/2015
Bayesian Clustering of Shapes of Curves
Unsupervised clustering of curves according to their shapes is an import...
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03/23/2015