The Projected Power Method: An Efficient Algorithm for Joint Alignment
from Pairwise Differences

The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences

19 September 2016

Emmanuel Candes

Papers citing "The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences"

8 / 8 papers shown

Title
Dynamic angular synchronization under smoothness constraints Ernesto Araya Mihai Cucuringu Hemant Tyagi 24 0 0 06 Jun 2024
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and Clustering J. Thunberg Florian Bernard 11 1 0 20 Oct 2023
A Novel and Optimal Spectral Method for Permutation Synchronization Duc Nguyen An Zhang 16 1 0 21 Mar 2023
$Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization$ Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization Gen Li Wei Fan Yuting Wei 18 10 0 07 Feb 2023
Minimax Optimal Clustering of Bipartite Graphs with a Generalized Power Method Guillaume Braun Hemant Tyagi 13 5 0 24 May 2022
Seeded graph matching for the correlated Gaussian Wigner model via the projected power method E. Araya Guillaume Braun Hemant Tyagi 72 4 0 08 Apr 2022
Wavelet invariants for statistically robust multi-reference alignment M. Hirn A. Little 9 7 0 24 Sep 2019
A Representation Theory Perspective on Simultaneous Alignment and Classification Roy R. Lederman A. Singer 21 20 0 12 Jul 2016