Equivariant deep learning via morphological and linear scale space PDEs on the space of positions and orientations
type: Item
instance of: scholarly article
title: Equivariant deep learning via morphological and linear scale space PDEs on the space of positions and orientations
zbMATH Open document ID: 1484.68206
DOI: 10.1007/978-3-030-75549-2_3
author: Remco Duits
author: Jim Portegies
author: Bart M. N. Smets
author: E. J. Bekkers
publication date: 2021-12-20T00:00:00Z
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 35Q68
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 7449718
zbMATH Keywords: convolutional neural networks
zbMATH Keywords: scale-space theory
zbMATH Keywords: Cramér transform
zbMATH Keywords: geometric deep learning
zbMATH Keywords: morphological convolutions
zbMATH Keywords: PDEs
MaRDI profile type: Publication
full work available at URL: 978-3-030-75549-2 3
OpenAlex ID: W3159319455
cites work: Q4763586
cites work: Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations
cites work: Asymptotic expansion of the hypoelliptic heat kernel on the diagonal
cites work: Q4813340
cites work: Left-invariant parabolic evolutions on $SE(2)$ and contour enhancement via invertible orientation scores Part I: Linear left-invariant diffusion equations on $SE(2)$
cites work: Optimal paths for variants of the 2D and 3D Reeds-Shepp car with applications in image analysis
cites work: Weighted subcoercive operators on Lie groups
cites work: Q5189317
cites work: Lévy flights: Exact results and asymptotics beyond all orders
cites work: Q3651067
cites work: Morphological counterparts of linear shift-invariant scale-spaces
cites work: Q4865590
description: scientific article; zbMATH DE number 7449718