Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology is a research paper published in Frontiers in Applied Mathematics and Statistics (2021). On theSindex it has a DataRank of 0. It has been cited 4 times.
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National Science Foundation
Grant: 1812124
Collaborative Research: Statistical Analysis of Partially Observed Shapes in Two Dimensions
UK Research and Innovation
Grant: EP/V048104/1
A New Foundation for Statistical Shape Analysis
National Science Foundation
Grant: 1811969
Collaborative Research: Statistical Analysis of Partially Observed Shapes in Two Dimensions
National Science Foundation
Grant: 1812065
Collaborative Research: Statistical Analysis of Partially Observed Shapes in Two Dimensions
National Science Foundation
Grant: 2015226
Collaborative Research: Shape-Based Imputation and Estimation of Fragmented, Noisy Curves with Application to the Reconstruction of Fossil Bovid Teeth
National Institutes of Health
Grant: 5R37CA214955-08
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas
National Science Foundation
Grant: 1839252
TRIPODS+X:RES:Collaborative Research: Improving Templated Microstructures via Topological Data Analysis
National Science Foundation
Grant: 1740761
TRIPODS: Topology, Geometry, and Data Analysis (TGDA@OSU):Discovering Structure, Shape, and Dynamics in Data
National Science Foundation
Grant: 2015374
Collaborative Research: Shape-Based Imputation and Estimation of Fragmented, Noisy Curves with Application to the Reconstruction of Fossil Bovid Teeth
National Science Foundation
Grant: 2015236
Collaborative Research: Shape-Based Imputation and Estimation of Fragmented, Noisy Curves with Application to the Reconstruction of Fossil Bovid Teeth
National Science Foundation
Grant: 2015320
Collaborative Research: Shape-Based Imputation and Estimation of Fragmented, Noisy Curves with Application to the Reconstruction of Fossil Bovid Teeth
FWCI
0.81
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals