A Survey of Vectorization Methods in Topological Data Analysis-Reference-Cited by-同舟云学术

A Survey of Vectorization Methods in Topological Data Analysis

Author:

Ali Dashti¹^ORCID,Asaad Aras²^ORCID,Jimenez Maria-Jose³^ORCID,Nanda Vidit³^ORCID,Paluzo-Hidalgo Eduardo⁴^ORCID,Soriano-Trigueros Manuel⁵^ORCID

Affiliation:

1. Koya University, Koysinjaq, Kurdistan Region, Iraq

2. School of computing, University of Buckingham, Buckingham, U.K.

3. Mathematical Institute, University of Oxford, Oxford, U.K.

4. Departamento de Matematica Aplicada I, Universidad de Sevilla, Sevilla, Spain

5. Institute of Science and Technology Austria, Klosterneuburg, Austria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference63 articles.

1. PersLay: A neural network layer for persistence diagrams and new graph topological signatures;carrière;Proc Int Conf Artif Intell Statist,2020

2. Cubical complex;dlotko;GUDHI User and Reference Manual,2022

3. Signatures, Lipschitz-free spaces, and paths of persistence diagrams;giusti,2021

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