ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data

12 May 2025

Papers citing "ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data"

12 / 12 papers shown

Title
ALPCAHUS: Subspace Clustering for Heteroscedastic Data Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 39 0 0 25 May 2025
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 78 1 0 06 Jul 2023
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler 117 20 0 10 Jan 2021
Selecting the number of components in PCA via random signflips David Hong Yueqi Sheng Yan Sun 90 16 0 05 Dec 2020
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data David Hong Fan Yang Jeffrey A. Fessler Laura Balzano 84 26 0 30 Oct 2018
Heteroskedastic PCA: Algorithm, Optimality, and Applications Anru R. Zhang T. Tony Cai Yihong Wu 192 72 0 19 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 69 427 0 25 Sep 2018
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery Namrata Vaswani T. Bouwmans S. Javed Praneeth Narayanamurthy OOD 93 278 0 26 Nov 2017
Permutation methods for factor analysis and PCA Yan Sun 65 54 0 02 Oct 2017
Asymptotic performance of PCA for high-dimensional heteroscedastic data David Hong Laura Balzano Jeffrey A. Fessler 70 55 0 20 Mar 2017
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications Tae-Hyun Oh Yu-Wing Tai Jean-Charles Bazin Hyeongwoo Kim In So Kweon 79 222 0 04 Mar 2015
Poisson noise reduction with non-local PCA Joseph Salmon Zachary T. Harmany Charles-Alban Deledalle Rebecca Willett 154 314 0 02 Jun 2012