ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1312.7219
  4. Cited By
Combining persistent homology and invariance groups for shape comparison
v1v2v3v4 (latest)

Combining persistent homology and invariance groups for shape comparison

27 December 2013
Patrizio Frosini
Grzegorz Jablonski
ArXiv (abs)PDFHTML

Papers citing "Combining persistent homology and invariance groups for shape comparison"

3 / 3 papers shown
Title
Geometric Deep Learning and Equivariant Neural Networks
Geometric Deep Learning and Equivariant Neural Networks
Jan E. Gerken
J. Aronsson
Oscar Carlsson
Hampus Linander
F. Ohlsson
Christoffer Petersson
Daniel Persson
MLT
139
72
0
28 May 2021
Towards a topological-geometrical theory of group equivariant
  non-expansive operators for data analysis and machine learning
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning
M. Bergomi
Patrizio Frosini
D. Giorgi
Nicola Quercioli
AI4CE
66
49
0
31 Dec 2018
Position paper: Towards an observer-oriented theory of shape comparison
Position paper: Towards an observer-oriented theory of shape comparison
Patrizio Frosini
42
15
0
07 Mar 2016
1