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Convergence of a Grassmannian Gradient Descent Algorithm for Subspace
  Estimation From Undersampled Data
v1v2v3 (latest)

Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data

1 October 2016
Dejiao Zhang
Laura Balzano
ArXiv (abs)PDFHTML

Papers citing "Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation From Undersampled Data"

3 / 3 papers shown
Title
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Alex Saad-Falcon
Brighton Ancelin
Justin Romberg
92
0
0
16 May 2025
Streaming PCA and Subspace Tracking: The Missing Data Case
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura Balzano
Yuejie Chi
Yue M. Lu
130
90
0
12 Jun 2018
Subspace Estimation from Incomplete Observations: A High-Dimensional
  Analysis
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis
Chuang Wang
Yonina C. Eldar
Yue M. Lu
182
18
0
17 May 2018
1