Topo-Geometric Analysis of Variability in Point Clouds Using Persistence Landscapes is a research paper published in IEEE Transactions on Pattern Analysis and Machine Intelligence (2024). On theSindex it has a DataRank of 0.
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NIH
Grant: R37-CA214955
NSF
Grant: DMS-2015374
NSF
Grant: CCF-1740761
NSF
Grant: DMS-2015226
NSF
Grant: CCF-1839252
NIH
Grant: R01-ES028804
NCI NIH HHS
Grant: R37 CA214955
NIEHS NIH HHS
Grant: R01 ES028804
National Science Foundation
Grant: 1839252
TRIPODS+X:RES:Collaborative Research: Improving Templated Microstructures via Topological Data Analysis
UK Research and Innovation
Grant: EP/V048104/1
A New Foundation for Statistical Shape Analysis
National Institutes of Health
Grant: 1R01ES028804-01
Structured nonparametric methods for mixtures of exposures
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: 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: 1740761
TRIPODS: Topology, Geometry, and Data Analysis (TGDA@OSU):Discovering Structure, Shape, and Dynamics in Data
National Institutes of Health
Grant: 5R37CA214955-05
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas
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