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Robust Recovery of Subspace Structures by Low-Rank Representation

Robust Recovery of Subspace Structures by Low-Rank Representation

14 October 2010
Guangcan Liu
Zhouchen Lin
Shuicheng Yan
Ju Sun
Yong Yu
Yi-An Ma
ArXivPDFHTML

Papers citing "Robust Recovery of Subspace Structures by Low-Rank Representation"

50 / 204 papers shown
Title
Masked Subspace Clustering Methods
Masked Subspace Clustering Methods
Jiebo Song
Huaming Ling
32
0
0
11 May 2025
Subject Information Extraction for Novelty Detection with Domain Shifts
Subject Information Extraction for Novelty Detection with Domain Shifts
Yangyang Qu
Dazhi Fu
Jicong Fan
OOD
80
0
0
30 Apr 2025
Label-independent hyperparameter-free self-supervised single-view deep subspace clustering
Label-independent hyperparameter-free self-supervised single-view deep subspace clustering
Lovro Sindicic
Ivica Kopriva
46
0
0
25 Apr 2025
Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
Hui Chen
Liangyu Liu
Xianchao Xiu
Wanquan Liu
61
0
0
25 Mar 2025
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems
Patrick Hytla
Tran T. A. Nghia
Duy Nhat Phan
Andrew Rice
FedML
52
0
0
17 Mar 2025
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
Kamal Berahmand
Farid Saberi-Movahed
Razieh Sheikhpour
Yuefeng Li
Mahdi Jalili
62
1
0
23 Jan 2025
Learning segmentation from point trajectories
Learning segmentation from point trajectories
Laurynas Karazija
Iro Laina
Christian Rupprecht
Andrea Vedaldi
3DPC
272
1
0
21 Jan 2025
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
Kunpeng Xu
Lifei Chen
Shengrui Wang
57
1
0
10 Jan 2025
GaLore$+$: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
GaLore+++: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection
Xutao Liao
Shaohui Li
Yuhui Xu
Zhi Li
Yebin Liu
You He
VLM
72
3
0
31 Dec 2024
Multilayer Graph Approach to Deep Subspace Clustering
Multilayer Graph Approach to Deep Subspace Clustering
Lovro Sindicic
Ivica Kopriva
24
1
0
30 Jan 2024
Towards Domain-Specific Cross-Corpus Speech Emotion Recognition Approach
Towards Domain-Specific Cross-Corpus Speech Emotion Recognition Approach
Yan Zhao
Yuan Zong
Hailun Lian
Cheng Lu
Jingang Shi
Wenming Zheng
42
0
0
11 Dec 2023
A Unified Framework for Fair Spectral Clustering With Effective Graph
  Learning
A Unified Framework for Fair Spectral Clustering With Effective Graph Learning
Xiang Zhang
Qiao Wang
54
3
0
23 Nov 2023
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient
  Language Model Finetuning
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo
P. Greengard
Eric P. Xing
Yoon Kim
MQ
52
46
0
20 Nov 2023
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
Chengyang Zhao
Songlin Yang
Zhenfang Chen
Mingyu Ding
Chuang Gan
64
16
0
10 Oct 2023
Joint Projection Learning and Tensor Decomposition Based Incomplete
  Multi-view Clustering
Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering
W. Lv
Chao Zhang
Huaxiong Li
Xiuyi Jia
Chunlin Chen
36
16
0
06 Oct 2023
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing:
  The Curses of Symmetry and Initialization
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
Nuoya Xiong
Lijun Ding
Simon S. Du
53
12
0
03 Oct 2023
Interpretable Neural Embeddings with Sparse Self-Representation
Interpretable Neural Embeddings with Sparse Self-Representation
Minxue Xia
Hao Zhu
MILM
21
0
0
25 Jun 2023
Rethinking k-means from manifold learning perspective
Rethinking k-means from manifold learning perspective
Quanxue Gao
Qianqian Wang
Han Lu
Wei Xia
Xinbo Gao
21
0
0
12 May 2023
LRRNet: A Novel Representation Learning Guided Fusion Network for
  Infrared and Visible Images
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images
Hui Li
Tianyang Xu
Xiaojun Wu
Jiwen Lu
J. Kittler
3DV
38
166
0
11 Apr 2023
Label Information Bottleneck for Label Enhancement
Label Information Bottleneck for Label Enhancement
Qinghai Zheng
Jihua Zhu
Haoyu Tang
60
6
0
13 Mar 2023
A parameter-free graph reduction for spectral clustering and SpectralNet
A parameter-free graph reduction for spectral clustering and SpectralNet
Mashaan Alshammari
J. Stavrakakis
M. Takatsuka
36
7
0
25 Feb 2023
Approximate spectral clustering with eigenvector selection and
  self-tuned $k$
Approximate spectral clustering with eigenvector selection and self-tuned kkk
Mashaan Alshammari
M. Takatsuka
19
12
0
22 Feb 2023
Refining a $k$-nearest neighbor graph for a computationally efficient
  spectral clustering
Refining a kkk-nearest neighbor graph for a computationally efficient spectral clustering
Mashaan Alshammari
J. Stavrakakis
M. Takatsuka
32
40
0
22 Feb 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
12
0
04 Jan 2023
Generative Graph Neural Networks for Link Prediction
Generative Graph Neural Networks for Link Prediction
Xingping Xian
Tao Wu
Xiaoke Ma
Shaojie Qiao
Yabin Shao
Chao Wang
Lin Yuan
Yuehua Wu
AI4CE
43
4
0
31 Dec 2022
Laplacian Convolutional Representation for Traffic Time Series
  Imputation
Laplacian Convolutional Representation for Traffic Time Series Imputation
Xinyu Chen
Zhanhong Cheng
HanQin Cai
Nicolas Saunier
Lijun Sun
AI4TS
57
16
0
03 Dec 2022
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering
Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering
Yingcong Lu
Yipeng Liu
Zhen Long
Zhangxin Chen
Ce Zhu
29
2
0
23 Oct 2022
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change
  Detection
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection
Shizhen Chang
Michael K Kopp
Pedram Ghamisi
45
8
0
09 Oct 2022
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
50
104
0
09 Oct 2022
Double Graphs Regularized Multi-view Subspace Clustering
Double Graphs Regularized Multi-view Subspace Clustering
Long-Biao Chen
Yulong Wang
Youheng Liu
Yutao Hu
Libin Wang
23
0
0
30 Sep 2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information:
  Theory, Algorithm and Metric
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
Pengxin Zeng
Yunfan Li
Peng Hu
Dezhong Peng
Jiancheng Lv
Xiaocui Peng
40
13
0
26 Sep 2022
Learning idempotent representation for subspace clustering
Learning idempotent representation for subspace clustering
Lai Wei
Shiteng Liu
Rigui Zhou
Changming Zhu
29
4
0
29 Jul 2022
Fusion Subspace Clustering for Incomplete Data
Fusion Subspace Clustering for Incomplete Data
Usman Mahmood
Daniel L. Pimentel-Alarcón
34
0
0
22 May 2022
Enriched Robust Multi-View Kernel Subspace Clustering
Enriched Robust Multi-View Kernel Subspace Clustering
Mengyuan Zhang
Kai-Chun Liu
34
2
0
21 May 2022
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
Yuheng Jia
Guanxing Lu
Hui Liu
Junhui Hou
38
19
0
21 May 2022
Finding Global Homophily in Graph Neural Networks When Meeting
  Heterophily
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li
Renyu Zhu
Yao Cheng
Caihua Shan
Siqiang Luo
Dongsheng Li
Wei Qian
32
182
0
15 May 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
45
2
0
12 Apr 2022
Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation
  Perspective
Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective
Huizhong Deng
Tong Zhang
Yuchao Dai
Jiawei Shi
Yiran Zhong
Hongdong Li
48
7
0
10 Apr 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan
Pengfei Zhu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
26
61
0
19 Mar 2022
Initialization of Latent Space Coordinates via Random Linear Projections
  for Learning Robotic Sensory-Motor Sequences
Initialization of Latent Space Coordinates via Random Linear Projections for Learning Robotic Sensory-Motor Sequences
V. Nikulin
Jun Tani
35
0
0
26 Feb 2022
Consistency and Diversity induced Human Motion Segmentation
Consistency and Diversity induced Human Motion Segmentation
Tao Zhou
Huazhu Fu
Chen Gong
Ling Shao
Fatih Porikli
Haibin Ling
Jianbing Shen
32
23
0
10 Feb 2022
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus
  Sparse Matrices
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices
Jiangjun Peng
Yao Wang
Hongying Zhang
Jianjun Wang
Deyu Meng
72
56
0
29 Jan 2022
Face recognition via compact second order image gradient orientations
Face recognition via compact second order image gradient orientations
Hefeng Yin
Xiaojun Wu
Xiaoning Song
CVBM
37
4
0
23 Jan 2022
Fine-grained Graph Learning for Multi-view Subspace Clustering
Fine-grained Graph Learning for Multi-view Subspace Clustering
Yidi Wang
Xiaobing Pei
Haoxi Zhan
38
2
0
12 Jan 2022
Top-Down Deep Clustering with Multi-generator GANs
Top-Down Deep Clustering with Multi-generator GANs
Daniel de Mello
Renato M. Assunção
Fabricio Murai
31
17
0
06 Dec 2021
Stationary Diffusion State Neural Estimation for Multiview Clustering
Stationary Diffusion State Neural Estimation for Multiview Clustering
Chenghua Liu
Zhuolin Liao
Yixuan Ma
Kun Zhan
DiffM
13
40
0
02 Dec 2021
Subspace Change-Point Detection via Low-Rank Matrix Factorisation
Subspace Change-Point Detection via Low-Rank Matrix Factorisation
Euan T. McGonigle
Hankui Peng
55
1
0
08 Oct 2021
Adaptive Attribute and Structure Subspace Clustering Network
Adaptive Attribute and Structure Subspace Clustering Network
Zhihao Peng
Hui Liu
Yuheng Jia
Junhui Hou
36
28
0
28 Sep 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang
Jingyang Lin
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
SSL
43
16
0
05 Aug 2021
Graph Constrained Data Representation Learning for Human Motion
  Segmentation
Graph Constrained Data Representation Learning for Human Motion Segmentation
Mariella Dimiccoli
Lluís Garrido
Guillem Rodríguez Corominas
H. Wendt
SSL
23
4
0
28 Jul 2021
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