ALPCAHUS: Subspace Clustering for Heteroscedastic Data

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ALPCAHUS: Subspace Clustering for Heteroscedastic Data

25 May 2025

Javier Salazar Cavazos

Jeffrey A. Fessler

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Papers citing "ALPCAHUS: Subspace Clustering for Heteroscedastic Data"

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Title
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 68 3 0 12 May 2025
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering Peng Wang Huikang Liu Anthony Man-Cho So Laura Balzano 84 11 0 11 Jun 2022
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 94 16 0 05 Dec 2020
Doubly Stochastic Subspace Clustering Derek Lim René Vidal B. Haeffele 59 22 0 30 Nov 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
Subspace Clustering using Ensembles of $K$ -Subspaces J. Lipor David Hong Dejiao Zhang Laura Balzano 61 25 0 14 Sep 2017
Asymptotic performance of PCA for high-dimensional heteroscedastic data David Hong Laura Balzano Jeffrey A. Fessler 70 55 0 20 Mar 2017
Robust Subspace Clustering via Thresholding Reinhard Heckel Helmut Bölcskei 129 156 0 18 Jul 2013
Sparse Subspace Clustering: Algorithm, Theory, and Applications Ehsan Elhamifar René Vidal 142 2,334 0 05 Mar 2012