Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data | Paper Citation Record

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This paper cites A., & Morrell , N.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data A., & Morrell , N

Reference 1

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This paper cites A Fast Iterative Robust Principal Component Analysis Method.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data A Fast Iterative Robust Principal Component Analysis Method

Reference 2

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This paper cites , year = 2012, journal =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data , year = 2012, journal =

Reference 3

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This paper cites Journal of the Royal Statistical Society: Series B (Methodological) , author =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Journal of the Royal Statistical Society: Series B (Methodological) , author =

Reference 4

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This paper cites The Astrophysical Journal , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data The Astrophysical Journal , volume =

Reference 5

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This paper cites Principal Component Analysis with Noisy and/or Missing Data.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Principal Component Analysis with Noisy and/or Missing Data

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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This paper cites Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

Reference 8

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This paper cites Accelerated Alternating Projections for Robust Principal Component Analysis.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Accelerated Alternating Projections for Robust Principal Component Analysis

Reference 9

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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This paper cites Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection

Reference 11

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Robust principal component analysis?

Reference 12

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This paper cites and Hogg, David W.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Hogg, David W

Reference 13

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This paper cites and Wheeler, Adam and Bedell, Megan and Hogg, David W.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Wheeler, Adam and Bedell, Megan and Hogg, David W

Reference 14

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This paper cites Robust Principal Components by Casewise and Cellwise Weighting.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Robust Principal Components by Casewise and Cellwise Weighting

Reference 15

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This paper cites Prusti, J.H.J.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Prusti, J.H.J

Reference 16

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Python and

Reference 17

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This paper cites Weighted principal component analysis: a weighted covariance eigendecomposition approach.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Weighted principal component analysis: a weighted covariance eigendecomposition approach

Reference 18

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This paper cites Conjugate.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Conjugate

Reference 19

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This paper cites doi:10.1007/BF02288367 D.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data doi:10.1007/BF02288367 D

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This paper cites The Astrophysical Journal , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data The Astrophysical Journal , volume =

Reference 21

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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This paper cites , year = 2019, month = jan, journal =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data , year = 2019, month = jan, journal =

Reference 24

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This paper cites Foreground Detection via Robust Low Rank Matrix Factorization Including Spatial Constraint with.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Foreground Detection via Robust Low Rank Matrix Factorization Including Spatial Constraint with

Reference 25

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This paper cites SIAM Review53(2), 217–288 (2011).

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data SIAM Review53(2), 217–288 (2011)

Reference 26

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Millman, K

Reference 27

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Robust PCA for High Dimensional Data based on Characteristic Transformation

Reference 28

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Bovy, Jo and Lang, Dustin , year = 2010, journal =

Reference 31

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This paper cites Communications in Statistics -- Theory and Methods , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Communications in Statistics -- Theory and Methods , volume =

Reference 32

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data volume =

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Theory of Stellar Atmospheres:

Reference 34

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data , year = 2007, journal =

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Properties and validation of the radial velocities

Reference 37

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Equinox:

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Schaefer, G

Reference 40

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Anderson, D.A

Reference 41

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Learn on the Fly

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Nature , volume =

Reference 44

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

Reference 45

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

Reference 46

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data A., Schlafly, E

Reference 47

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 48

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Rix, Hans-Walter and Ho, Anna Y

Reference 49

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Advances in Neural Information Processing Systems , author =

Reference 50

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Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Pearson,Liii

Reference 51

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e8abb4d-a5c6-4547-a09c-923078a65bba · outbound

This paper cites and Khlebnikov, Mikhail V.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Khlebnikov, Mikhail V

Reference 52

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.319301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96a1472a-3889-4acb-a225-89ffff3845b5 · outbound

This paper cites Monthly Notices of the Royal Astronomical Society , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Monthly Notices of the Royal Astronomical Society , volume =

Reference 53

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.358466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e7903eb-c6b0-4919-8bb9-6698903080f7 · outbound

This paper cites an unresolved cited work.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-07-10T00:36:40.074556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74f4060c-9aa6-4a20-8f30-53bcb53864c0 · outbound

This paper cites Astronomy & Astrophysics , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Astronomy & Astrophysics , volume =

Reference 55

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.349779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8318e6c1-51da-48fc-af14-84e75be3e747 · outbound

This paper cites Fast Principal Component Pursuit via Alternating Minimization , booktitle =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Fast Principal Component Pursuit via Alternating Minimization , booktitle =

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-10T00:36:39.374208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation be513f24-9557-4d27-b303-d5c87e715368 · outbound

This paper cites and Giampouras, Paris V.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Giampouras, Paris V

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-10T00:36:39.390839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aebae8e4-dae0-46af-bb78-0e6ecea185c9 · outbound

This paper cites Neural Computation , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Neural Computation , volume =

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T00:36:40.072757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3865b8e2-75d3-470b-b307-5f724252e7ec · outbound

This paper cites and Varoquaux, G.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Varoquaux, G

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T00:36:40.060334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce2a5526-316c-4913-ab4c-5441b65403b9 · outbound

This paper cites Detection and Characterization of Exoplanets and Disks Using Projections on.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Detection and Characterization of Exoplanets and Disks Using Projections on

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T00:36:40.062666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ea075f7-96f0-48e8-a18c-8f4315d03180 · outbound

This paper cites Robust Principal Component Analysis Based on Low-Rank and Block-Sparse Matrix Decomposition , booktitle =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Robust Principal Component Analysis Based on Low-Rank and Block-Sparse Matrix Decomposition , booktitle =

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-10T00:36:39.400237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5dcd26a8-91a6-4445-8355-0767feb1eab9 · outbound

This paper cites The Payne: self-consistent ab initio fitting of stellar spectra.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data The Payne: self-consistent ab initio fitting of stellar spectra

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:36:39.388235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33e4ed65-f2e6-4c32-aa8c-582bca1c56ec · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume =

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T00:36:40.050748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b637df54-7e34-4024-84fc-41b6864a8c26 · outbound

This paper cites and Hogg, David W.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Hogg, David W

Reference 64

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.392911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c8ac28c-47c6-4077-a9ec-79da08e973de · outbound

This paper cites Summary of the content and survey properties.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Summary of the content and survey properties

Reference 65

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.343930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7b9aaa6-2ae1-449b-9fe3-4c063b7333a4 · outbound

This paper cites an unresolved cited work.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-10T00:36:39.375625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a216ae73-509e-4554-88b6-a8c4e5ca9cc3 · outbound

This paper cites and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T00:36:40.052598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 409b975f-5426-4f7e-9f3f-b97a0d090dc2 · outbound

This paper cites Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Iteratively reweighted least squares for maximum likelihood estimation, and some robust and resistant alternatives

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-07-10T00:36:39.393934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71426cca-7303-49aa-8551-547180e5e097 · outbound

This paper cites Biometrika , volume =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Biometrika , volume =

Reference 69

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.395754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6886d36a-6d3f-46b6-a10d-ae575807e44b · outbound

This paper cites A Unified.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data A Unified

Reference 70

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.299074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8dee2145-ae9d-455f-8dc3-914375aa9b5f · outbound

This paper cites Local Principal Component Pursuit for Nonlinear Datasets , booktitle =.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Local Principal Component Pursuit for Nonlinear Datasets , booktitle =

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-07-10T00:36:39.378602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 751c6cfc-22d9-4b2f-bc28-84dfb13eb37b · outbound

This paper cites an unresolved cited work.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-07-10T00:36:40.034042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29a16dcc-dbb1-4854-bc9a-43b00375e747 · outbound

This paper cites IEEE Transactions on Signal Processing67(11), 3001–3012 (2019) https://doi.org/10.1109/TSP.2019.2907260.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data IEEE Transactions on Signal Processing67(11), 3001–3012 (2019) https://doi.org/10.1109/TSP.2019.2907260

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-07-10T00:36:39.370513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ded286e3-0d0f-4449-b4ae-23bd8964a1f2 · outbound

This paper cites Heteroskedastic PCA: Algorithm, Optimality, and Applications.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Heteroskedastic PCA: Algorithm, Optimality, and Applications

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:36:39.382005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9407ae53-9b2c-46ee-9731-b400b8944c2d · outbound

This paper cites and Hogg, David W.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data and Hogg, David W

Reference 75

Resolution: verified exact; doi, observed 2026-07-10T00:36:39.367492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bcb695e-6138-4ffc-a92a-1d78d4a66741 · outbound

This paper cites Stable Principal Component Pursuit.

Robust Heteroskedastic Matrix Factorization: A Generalization of PCA that Flags Outliers and Handles Missing Data Stable Principal Component Pursuit

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-07-10T00:36:39.338784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers