Communications on Pure and Applied Mathematics· 2012Q1
Group Invariant Scattering
- 1,039citations
- Q1SCImago
- 2012year
Short summary
This paper constructs translation-invariant operators that are Lipschitz-continuous to diffeomorphism actions, enabling robust feature extraction from data.
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Key points
- Constructs translation-invariant operators robust to diffeomorphisms.
- Scattering transform is Lipschitz-continuous to C2 diffeomorphisms.
- Scattering coefficients can represent stationary processes and discriminate based on high-order moments.
- Extends invariance to compact Lie groups and combines translation/rotation invariance.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract This paper constructs translation‐invariant operators on $\font\open=msbm10 at 10pt\def\R{\hbox{\open R}}{\bf L}^2({{{\R}}}^d)$ , which are Lipschitz‐continuous to the action of diffeomorphisms. A scattering propagator is a path‐ordered product of nonlinear and noncommuting operators, each of which computes the modulus of a wavelet transform. A local integration defines a windowed scattering transform, which is proved to be Lipschitz‐continuous to the action of C 2 diffeomorphisms. As the window size increases, it converges to a wavelet scattering transform that is translation invariant. Scattering coefficients also provide representations of stationary processes. Expected values depend upon high‐order moments and can discriminate processes having the same power spectrum. Scattering operators are extended on L 2 ( G ), where G is a compact Lie group, and are invariant under the action of G . Combining a scattering on $\font\open=msbm10 at 10pt\def\R{\hbox{\open R}}{\bf L}^2({{{\R}}}^d)$ and on L 2 ( SO ( d )) defines a translation‐ and rotation‐invariant scattering on $\font\open=msbm10 at 10pt\def\R{\hbox{\open R}}{\bf L}^2({{{\R}}}^d)$ . © 2012 Wiley Periodicals, Inc.
The authors' abstract, as published at the source. Communications on Pure and Applied Mathematics, 2012 · DOI ↗
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Field: Applied Mathematics
Applied MathematicsMathematics