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Regularized Tensor Factorizations and Higher-Order Principal Components
  Analysis

Regularized Tensor Factorizations and Higher-Order Principal Components Analysis

11 February 2012
Genevera I. Allen
ArXiv (abs)PDFHTML

Papers citing "Regularized Tensor Factorizations and Higher-Order Principal Components Analysis"

5 / 5 papers shown
Title
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
213
45
0
09 Nov 2019
A Generalized Least Squares Matrix Decomposition
A Generalized Least Squares Matrix Decomposition
Genevera I. Allen
L. Grosenick
Jonathan E. Taylor
96
15
0
15 Feb 2011
PCA consistency in high dimension, low sample size context
PCA consistency in high dimension, low sample size context
Sungkyu Jung
J. S. Marron
109
319
0
19 Nov 2009
Functional principal components analysis via penalized rank one
  approximation
Functional principal components analysis via penalized rank one approximation
Jianhua Z. Huang
Haipeng Shen
A. Buja
121
71
0
30 Jul 2008
High-dimensional analysis of semidefinite relaxations for sparse
  principal components
High-dimensional analysis of semidefinite relaxations for sparse principal components
Arash A. Amini
Martin J. Wainwright
181
314
0
27 Mar 2008
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