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Steerable Principal Components for Space-Frequency Localized Images

Steerable Principal Components for Space-Frequency Localized Images

9 August 2016
Boris Landa
Y. Shkolnisky
    LLMSV
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Papers citing "Steerable Principal Components for Space-Frequency Localized Images"

6 / 6 papers shown
Title
The G-invariant graph Laplacian
The G-invariant graph Laplacian
E. Rosen
Paulina Hoyos
Xiuyuan Cheng
Joe Kileel
Y. Shkolnisky
24
1
0
29 Mar 2023
Fast expansion into harmonics on the disk: a steerable basis with fast
  radial convolutions
Fast expansion into harmonics on the disk: a steerable basis with fast radial convolutions
Nicholas F. Marshall
Oscar Mickelin
A. Singer
30
8
0
27 Jul 2022
Bias and variance reduction and denoising for CTF Estimation
Bias and variance reduction and denoising for CTF Estimation
Ayelet Heimowitz
Joakim Andén
A. Singer
28
7
0
09 Aug 2019
Multi-reference factor analysis: low-rank covariance estimation under
  unknown translations
Multi-reference factor analysis: low-rank covariance estimation under unknown translations
Boris Landa
Y. Shkolnisky
15
3
0
01 Jun 2019
Heterogeneous multireference alignment for images with application to
  2-D classification in single particle reconstruction
Heterogeneous multireference alignment for images with application to 2-D classification in single particle reconstruction
Chao Ma
Tamir Bendory
Nicolas Boumal
F. Sigworth
A. Singer
27
26
0
12 Oct 2018
The steerable graph Laplacian and its application to filtering image
  data-sets
The steerable graph Laplacian and its application to filtering image data-sets
Boris Landa
Y. Shkolnisky
22
19
0
06 Feb 2018
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