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A geometric analysis of subspace clustering with outliers

A geometric analysis of subspace clustering with outliers

19 December 2011
Mahdi Soltanolkotabi
Emmanuel J. Candés
ArXivPDFHTML

Papers citing "A geometric analysis of subspace clustering with outliers"

50 / 153 papers shown
Title
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions
Gokularam Muthukrishnan
Sheetal Kalyani
89
0
0
28 Jan 2025
Subspace Clustering in Wavelet Packets Domain
Subspace Clustering in Wavelet Packets Domain
Ivica Kopriva
D. Seršić
47
0
0
06 Jun 2024
Beyond the Known: Adversarial Autoencoders in Novelty Detection
Beyond the Known: Adversarial Autoencoders in Novelty Detection
Muhammad Asad
Ihsan Ullah
Ganesh Sistu
Michael G. Madden
AAML
UQCV
32
0
0
06 Apr 2024
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp
  Guarantees
Sketching for Convex and Nonconvex Regularized Least Squares with Sharp Guarantees
Yingzhen Yang
Ping Li
23
0
0
03 Nov 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration
  in Adversarial Robustness
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Ambar Pal
Huaijin Hao
Rene Vidal
33
8
0
28 Sep 2023
Cascade Subspace Clustering for Outlier Detection
Cascade Subspace Clustering for Outlier Detection
Qi Yang
Hao Zhu
18
0
0
23 Jun 2023
A Robust Likelihood Model for Novelty Detection
A Robust Likelihood Model for Novelty Detection
Ranya Almohsen
Shivang Patel
Don Adjeroh
Gianfranco Doretto
AAML
OOD
16
0
0
06 Jun 2023
Multi-dimensional concept discovery (MCD): A unifying framework with
  completeness guarantees
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
31
37
0
27 Jan 2023
Unsupervised Manifold Linearizing and Clustering
Unsupervised Manifold Linearizing and Clustering
Tianjiao Ding
Shengbang Tong
Kwan Ho Ryan Chan
Xili Dai
Yi Ma
B. Haeffele
35
11
0
04 Jan 2023
Variable Clustering via Distributionally Robust Nodewise Regression
Variable Clustering via Distributionally Robust Nodewise Regression
Kaizheng Wang
Xiao Xu
X. Zhou
OOD
33
2
0
15 Dec 2022
Local and Global Structure Preservation Based Spectral Clustering
Local and Global Structure Preservation Based Spectral Clustering
Kajal Eybpoosh
M. Rezghi
A. Heydari
42
0
0
23 Oct 2022
Monotonic Risk Relationships under Distribution Shifts for Regularized
  Risk Minimization
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
Daniel LeJeune
Jiayu Liu
Reinhard Heckel
28
0
0
20 Oct 2022
Revisiting data augmentation for subspace clustering
Revisiting data augmentation for subspace clustering
Maryam Abdolali
Nicolas Gillis
19
1
0
20 Jul 2022
Noisy $\ell^{0}$-Sparse Subspace Clustering on Dimensionality Reduced
  Data
Noisy ℓ0\ell^{0}ℓ0-Sparse Subspace Clustering on Dimensionality Reduced Data
Yingzhen Yang
Ping Li
15
2
0
22 Jun 2022
Sparse Subspace Clustering in Diverse Multiplex Network Model
Sparse Subspace Clustering in Diverse Multiplex Network Model
M. Noroozi
Marianna Pensky
37
8
0
15 Jun 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for
  Subspace Clustering
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering
Peng Wang
Huikang Liu
Anthony Man-Cho So
Laura Balzano
36
9
0
11 Jun 2022
Greedier is Better: Selecting Multiple Neighbors per Iteration for
  Sparse Subspace Clustering
Greedier is Better: Selecting Multiple Neighbors per Iteration for Sparse Subspace Clustering
Jwo-Yuh Wu
L. Huang
Wen-Hsuan Li
Chunxi Liu
Rung-Hung Gau
42
0
0
06 Apr 2022
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Sparse Subspace Clustering for Concept Discovery (SSCCD)
Johanna Vielhaben
Stefan Blücher
Nils Strodthoff
27
6
0
11 Mar 2022
Provable Clustering of a Union of Linear Manifolds Using Optimal
  Directions
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions
M. Rahmani
16
1
0
08 Jan 2022
Learning a Self-Expressive Network for Subspace Clustering
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang
Chong You
René Vidal
Chun-Guang Li
38
44
0
08 Oct 2021
Discriminative Similarity for Data Clustering
Discriminative Similarity for Data Clustering
Yingzhen Yang
Ping Li
24
1
0
17 Sep 2021
Popularity Adjusted Block Models are Generalized Random Dot Product
  Graphs
Popularity Adjusted Block Models are Generalized Random Dot Product Graphs
John Koo
M. Tang
M. Trosset
34
7
0
09 Sep 2021
Provable Data Clustering via Innovation Search
Provable Data Clustering via Innovation Search
Weiwei Li
M. Rahmani
Ping Li
12
2
0
16 Aug 2021
Closed-Form, Provable, and Robust PCA via Leverage Statistics and
  Innovation Search
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
M. Rahmani
Ping Li
24
4
0
23 Jun 2021
Unlabeled Principal Component Analysis and Matrix Completion
Unlabeled Principal Component Analysis and Matrix Completion
Yu Yao
Liangzu Peng
M. Tsakiris
33
13
0
23 Jan 2021
Making transport more robust and interpretable by moving data through a
  small number of anchor points
Making transport more robust and interpretable by moving data through a small number of anchor points
Chi-Heng Lin
Mehdi Azabou
Eva L. Dyer
OT
OOD
47
22
0
21 Dec 2020
Doubly Stochastic Subspace Clustering
Doubly Stochastic Subspace Clustering
Derek Lim
René Vidal
B. Haeffele
15
17
0
30 Nov 2020
Persistent Reductions in Regularized Loss Minimization for Variable
  Selection
Persistent Reductions in Regularized Loss Minimization for Variable Selection
Amin Jalali
34
0
0
30 Nov 2020
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical
  Feature Distillation
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation
Adín Ramirez Rivera
A. Khan
I. E. I. Bekkouch
T. S. Sheikh
29
38
0
10 Oct 2020
A Critique of Self-Expressive Deep Subspace Clustering
A Critique of Self-Expressive Deep Subspace Clustering
B. Haeffele
Chong You
René Vidal
25
28
0
08 Oct 2020
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data
  Fusion
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion
Sally Ghanem
Ashkan Panahi
Hamid Krim
R. Kerekes
8
6
0
18 Jun 2020
Self-Representation Based Unsupervised Exemplar Selection in a Union of
  Subspaces
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
Chong You
Chi Li
Daniel P. Robinson
René Vidal
16
15
0
07 Jun 2020
Is an Affine Constraint Needed for Affine Subspace Clustering?
Is an Affine Constraint Needed for Affine Subspace Clustering?
Chong You
Chun-Guang Li
Daniel P. Robinson
René Vidal
39
24
0
08 May 2020
Stochastic Sparse Subspace Clustering
Stochastic Sparse Subspace Clustering
Ying Chen
Chun-Guang Li
Chong You
50
68
0
04 May 2020
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Gowthami Somepalli
Y. Wu
Yogesh Balaji
B. Vinzamuri
S. Feizi
21
3
0
24 Mar 2020
Bringing in the outliers: A sparse subspace clustering approach to learn
  a dictionary of mouse ultrasonic vocalizations
Bringing in the outliers: A sparse subspace clustering approach to learn a dictionary of mouse ultrasonic vocalizations
Jiaxi Wang
Karel Mundnich
A. Knoll
P. Levitt
Shrikanth Narayanan
29
6
0
12 Mar 2020
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty
  Detection
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi
Atrin Arya
Barbod Pajoum
Mohammad Otoofi
Amirreza Shaeiri
M. Rohban
Hamid R. Rabiee
AAML
31
62
0
12 Mar 2020
All-In-One Robust Estimator of the Gaussian Mean
All-In-One Robust Estimator of the Gaussian Mean
A. Dalalyan
A. Minasyan
35
25
0
04 Feb 2020
Provable Noisy Sparse Subspace Clustering using Greedy Neighbor
  Selection: A Coherence-Based Perspective
Provable Noisy Sparse Subspace Clustering using Greedy Neighbor Selection: A Coherence-Based Perspective
Jwo-Yuh Wu
Wen-Hsuan Li
L. Huang
Yen-Ping Lin
Chun-Hung Liu
Rung-Hung Gau
31
0
0
02 Feb 2020
Blocked Clusterwise Regression
Blocked Clusterwise Regression
Max Cytrynbaum
8
2
0
29 Jan 2020
Multi-Level Representation Learning for Deep Subspace Clustering
Multi-Level Representation Learning for Deep Subspace Clustering
Mohsen Kheirandishfard
Fariba Zohrizadeh
F. Kamangar
SSL
8
36
0
19 Jan 2020
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving
  Recovery: Theoretical Analysis
Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis
Daniel P. Robinson
René Vidal
Chong You
33
9
0
30 Dec 2019
Outlier Detection and Data Clustering via Innovation Search
Outlier Detection and Data Clustering via Innovation Search
M. Rahmani
P. Li
34
3
0
30 Dec 2019
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models
  with Outliers
A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers
Prateek Srivastava
Purnamrita Sarkar
G. A. Hanasusanto
25
18
0
16 Dec 2019
Subspace clustering without knowing the number of clusters: A parameter
  free approach
Subspace clustering without knowing the number of clusters: A parameter free approach
V. Menon
Gokularam M
Sheetal Kalyani
22
14
0
10 Sep 2019
Large-Scale Sparse Subspace Clustering Using Landmarks
Large-Scale Sparse Subspace Clustering Using Landmarks
Farhad Pourkamali-Anaraki
36
4
0
02 Aug 2019
Theory of Spectral Method for Union of Subspaces-Based Random Geometry
  Graph
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li
Yuantao Gu
36
3
0
25 Jul 2019
Compressed Subspace Learning Based on Canonical Angle Preserving
  Property
Compressed Subspace Learning Based on Canonical Angle Preserving Property
Yuchen Jiao
Gen Li
Yuantao Gu
25
2
0
14 Jul 2019
Minimal Sample Subspace Learning: Theory and Algorithms
Minimal Sample Subspace Learning: Theory and Algorithms
Zhenyue Zhang
Yuqing Xia
17
2
0
13 Jul 2019
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces
Xingyu Xu
Gen Li
Yuantao Gu
21
7
0
23 May 2019
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