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Higher-order Projected Power Iterations for Scalable Multi-Matching

Higher-order Projected Power Iterations for Scalable Multi-Matching

26 November 2018
Florian Bernard
J. Thunberg
Paul Swoboda
Christian Theobalt
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Papers citing "Higher-order Projected Power Iterations for Scalable Multi-Matching"

5 / 5 papers shown
Title
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
Miaoge Li
Jingcai Guo
Richard Yi Da Xu
Dongsheng Wang
Xiaofeng Cao
Zhijie Rao
Song Guo
CoGe
68
3
0
28 Jan 2025
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and
  Clustering
Non-Negative Spherical Relaxations for Universe-Free Multi-Matching and Clustering
J. Thunberg
Florian Bernard
13
1
0
20 Oct 2023
Universe Points Representation Learning for Partial Multi-Graph Matching
Universe Points Representation Learning for Partial Multi-Graph Matching
Zhakshylyk Nurlanov
Frank R. Schmidt
Florian Bernard
9
5
0
01 Dec 2022
Seeded graph matching for the correlated Gaussian Wigner model via the
  projected power method
Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
E. Araya
Guillaume Braun
Hemant Tyagi
74
4
0
08 Apr 2022
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
Yuxin Chen
Emmanuel Candes
27
92
0
19 Sep 2016
1