Sparse Subspace Clustering: Algorithm, Theory, and Applications

5 March 2012

Papers citing "Sparse Subspace Clustering: Algorithm, Theory, and Applications"

50 / 468 papers shown

Title
Dictionary learning for clustering on hyperspectral images Joshua Bruton Hairong Wang 12 6 0 02 Feb 2022
Neural Manifold Clustering and Embedding Zengyi Li Yubei Chen Yann LeCun Friedrich T. Sommer DRL 22 41 0 24 Jan 2022
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions M. Rahmani 12 1 0 08 Jan 2022
Multi-Representation Adaptation Network for Cross-domain Image Classification Yongchun Zhu Fuzhen Zhuang Jindong Wang Jingwu Chen Zhiping Shi Wenjuan Wu Qing He OOD 23 217 0 04 Jan 2022
Multi-view Subspace Adaptive Learning via Autoencoder and Attention Jian-wei Liu Hao-jie Xie Run-kun Lu Xiong-lin Luo 8 2 0 01 Jan 2022
Attentive Multi-View Deep Subspace Clustering Net Run-kun Lu Jian-wei Liu Xin Zuo 6 38 0 23 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 23 17 0 06 Dec 2021
Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification Anurag Goel A. Majumdar 27 10 0 27 Nov 2021
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering Katsuya Hotta T. Akashi Shogo Tokai Chao Zhang 16 1 0 24 Nov 2021
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning Yaoming Cai Zijia Zhang Yong-Jin Liu Pedram Ghamisi Kunping Li Xiaobo Liu Z. Cai 22 16 0 15 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 32 1 0 15 Nov 2021
Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering Yanming Li Changsheng Li Shiye Wang Ye Yuan Guoren Wang SSL 31 0 0 28 Oct 2021
Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation Yang Zhang Moyun Liu Huiming Zhang Guodong Sun Jingwu He 9 6 0 22 Oct 2021
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning Alexander Lin Andrew H. Song Demba E. Ba 33 5 0 10 Oct 2021
Learning a Self-Expressive Network for Subspace Clustering Shangzhi Zhang Chong You René Vidal Chun-Guang Li 36 44 0 08 Oct 2021
Subspace Change-Point Detection via Low-Rank Matrix Factorisation Euan T. McGonigle Hankui Peng 43 1 0 08 Oct 2021
Detecting adversaries in Crowdsourcing Panagiotis A. Traganitis G. Giannakis 17 2 0 07 Oct 2021
Adaptive Attribute and Structure Subspace Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 31 28 0 28 Sep 2021
Discriminative Similarity for Data Clustering Yingzhen Yang Ping Li 14 1 0 17 Sep 2021
Multi-Tensor Network Representation for High-Order Tensor Completion Chang Nie Huan Wang Zhihui Lai 17 2 0 09 Sep 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning Yu Wang Jingyang Lin Qi Cai Yingwei Pan Ting Yao Hongyang Chao Tao Mei SSL 38 16 0 05 Aug 2021
Graph Constrained Data Representation Learning for Human Motion Segmentation Mariella Dimiccoli Lluís Garrido Guillem Rodríguez Corominas H. Wendt SSL 10 4 0 28 Jul 2021
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation Aylin Taştan Michael Muma A. Zoubir 12 1 0 26 Jul 2021
A Simple Approach to Automated Spectral Clustering Jicong Fan Y. Tu Zhao Zhang Mingbo Zhao Haijun Zhang 30 18 0 23 Jul 2021
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications Mingyuan Bai S. Choy Junping Zhang Junbin Gao AI4TS 19 1 0 22 Jul 2021
Subspace Clustering Based Analysis of Neural Networks Uday Singh Saini Pravallika Devineni Evangelos E. Papalexakis GNN 22 1 0 02 Jul 2021
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions Luigi Carratino Stefano Vigogna Daniele Calandriello Lorenzo Rosasco 11 7 0 23 Jun 2021
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search M. Rahmani Ping Li 24 4 0 23 Jun 2021
On Matrix Factorizations in Subspace Clustering Reeshad Arian Keaton Hamm 16 0 0 22 Jun 2021
Smoothed Multi-View Subspace Clustering Peng Chen Liang Liu Zhengrui Ma Zhao Kang 15 17 0 18 Jun 2021
Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning Hankui Peng N. Pavlidis 27 0 0 08 Jun 2021
A unified framework based on graph consensus term for multi-view learning Xiangzhu Meng Lin Feng Chonghui Guo 19 6 0 25 May 2021
Reconstructing Small 3D Objects in front of a Textured Background Petr Hrubý Tomas Pajdla 18 2 0 24 May 2021
Latent Code-Based Fusion: A Volterra Neural Network Approach Sally Ghanem Siddharth Roheda Hamid Krim 13 5 0 10 Apr 2021
Pseudo-supervised Deep Subspace Clustering Juncheng Lv Zhao Kang Xiao Lu Zenglin Xu 32 111 0 08 Apr 2021
Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review Omid Gheibi Danny Weyns Federico Quin AI4CE 15 63 0 06 Mar 2021
Tensor Laplacian Regularized Low-Rank Representation for Non-uniformly Distributed Data Subspace Clustering Eysan Mehrbani M. Kahaei Seyed Aliasghar Beheshti 13 5 0 06 Mar 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 35 56 0 19 Feb 2021
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view Zhao Kang Zhiping Lin Xiaofeng Zhu Wenbo Xu 76 228 0 16 Feb 2021
Matrix Decomposition on Graphs: A Functional View Abhishek Sharma M. Ovsjanikov 12 3 0 05 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 25 52 0 05 Feb 2021
Deep Adversarial Inconsistent Cognitive Sampling for Multi-view Progressive Subspace Clustering Renhao Sun 11 8 0 11 Jan 2021
Robust CUR Decomposition: Theory and Imaging Applications HanQin Cai Keaton Hamm Longxiu Huang Deanna Needell 17 41 0 05 Jan 2021
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm Saptarshi Chakraborty Debolina Paul Swagatam Das 11 20 0 20 Dec 2020
Superpixel Segmentation Based on Spatially Constrained Subspace Clustering Hua Li Yuheng Jia Runmin Cong Wenhui Wu Sam Kwong Chuanbo Chen 22 13 0 11 Dec 2020
Maximum Entropy Subspace Clustering Network Zhihao Peng Yuheng Jia Hui Liu Junhui Hou Qingfu Zhang 13 20 0 06 Dec 2020
Doubly Stochastic Subspace Clustering Derek Lim René Vidal B. Haeffele 13 17 0 30 Nov 2020
Overcomplete Deep Subspace Clustering Networks Jeya Maria Jose Valanarasu Vishal M. Patel 21 15 0 16 Nov 2020
Kernel Two-Dimensional Ridge Regression for Subspace Clustering Chong Peng Qian Zhang Zhao Kang Chenglizhao Chen Q. Cheng 16 35 0 03 Nov 2020
Tensor-based Intrinsic Subspace Representation Learning for Multi-view Clustering Qinghai Zheng Yu Zhang Jihua Zhu Zhongyu Li Haoyu Tang Shuangxun Ma 6 1 0 19 Oct 2020