Robust Subspace Segmentation by Low-Rank Representation

Keywords

Linear subspace, Subspace topology, Representation (politics), Pattern recognition (psychology), Rank (graph theory)

References

• Robust Recovery of Signals From a Union of SubspacesYonina C. Eldar, Moshe Mishali — 2008
• Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two ViewsShankar Rao, Allen Y. Yang, S. Shankar Sastry — 2010
• Sparse subspace clusteringEhsan Elhamifar, René Vidal — 2009
• Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed DataYi Ma, Allen Y. Yang, Harm Derksen — 2008
• Median K-Flats for hybrid linear modeling with many outliersTeng Zhang, Arthur Szlam, Gilad Lerman — 2009
• Matrix Completion With NoiseEmmanuel J. Candès, Yaniv Plan — 2009
• A Benchmark for the Comparison of 3-D Motion Segmentation AlgorithmsRoberto Tron, René Víctor Valqui Vidal — 2007
• Classification via Minimum Incremental Coding LengthJohn Wright, Yi Ma, Yangyu Tao — 2009
• Combined central and subspace clustering for computer vision applicationsLe Lü, René Vidal — 2006
• Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartographyMartin A. Fischler, Robert C. Bolles — 1981
• Multibody factorization with uncertainty and missing data using the EM algorithmAmit Gruber, Yaakov Weiss — 2004
• A Singular Value Thresholding Algorithm for Matrix CompletionJian‐Feng Cai, Emmanuel J. Candès, Zuowei Shen — 2008
• A Multibody Factorization Method for Independently Moving ObjectsJoão Paulo Costeira, Takeo Kanade — 1998
• Robust Statistical Estimation and Segmentation of Multiple SubspacesAi‐Li Yang, Suyun Rao, Yi Ma — 2006
• Exact Matrix Completion via Convex OptimizationEmmanuel J. Candès, Benjamin Recht — 2008
• Clustering appearances of objects under varying illumination conditionsJ. Ho, Ming-Husang Yang, Jongwoo Lim — 2003
• Acquiring linear subspaces for face recognition under variable lightingKuang-Chih Lee, J. Ho, David Kriegman — 2005
• Robust Face Recognition via Sparse RepresentationJohn Wright, A. Yang, Arvind Ganesh — 2009
• Normalized cuts and image segmentationJianbo Shi, Jitendra Malik — 1997
• Robust principal component analysis?Emmanuel J. Candès, Xiaodong Li, Yi Ma — 2009

Cited by

• Motion-based segmentation of objects using overlapping temporal windowsNikolaos Dimitriou, Anastasios Delopoulos — 2013
• Point cloud normal estimation via low-rank subspace clusteringJie Zhang, Junjie Cao, Xiuping Liu — 2013
• General Subspace Learning With Corrupted Training Data Via Graph EmbeddingJorge Fernández García — 2013
• Flexible Affinity Matrix Learning for Unsupervised and Semisupervised ClassificationPello Añorga, Juan Cruz Iguerabide Sarasola, Antton Kazabon — 2019
• Robust Principal Component Analysis with Complex NoiseQian Zhao, Deyu Meng, Zongben Xu — 2014
• Efficient Subspace Segmentation via Quadratic ProgrammingShusen Wang, Xiao–Tong Yuan, Tiansheng Yao — 2011
• Subspace clustering using a symmetric low-rank representationJie Chen, Hua Mao, Yongsheng Sang — 2014
• Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image SetsLopamudra Mukherjee, Vikas Singh, Jia Xu — 2012
• Clustering Consistent Sparse Subspace ClusteringYining Wang, Yu-Xiang Wang, Aarti Singh — 2015
• Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse OptimizationsHai Su — 2014
• A Convex Model for Matrix Factorization and Dimensionality Reduction on Physical Space and Its Application to Blind Hyperspectral UnmixingMichael Moeller, Ernie Esser, Stanley Osher — 2010
• A non-negative representation learning algorithm for selecting neighborsLili Li, Jiancheng Lv, Yi Zhang — 2016
• Bilinear low-rank coding framework and extension for robust image recovery and feature representationZhao Zhang, Shuicheng Yan, Mingbo Zhao — 2015
• Multi-View Low-Rank Analysis for Outlier DetectionSheng Li, Ming Shao, Yun Fu — 2015
• Robust facial representation for recognitionWeilin Huang — 2013
• Segmentation of Subspaces in Sequential DataStephen Tierney, Yi Guo, Junbin Gao — 2015
• A Local Non-Negative Pursuit Method for Intrinsic Manifold Structure PreservationDongdong Chen, Jian Lv, Yi Zhang — 2014
• Robust image hashing with tampering recovery capability via low-rank and sparse representationHong Liu, Di Xiao, Yunpeng Xiao — 2015
• Temporally Coherent Bayesian Models for Entity Discovery in Videos by Tracklet ClusteringAdway Mitra, Soma Biswas, Chiranjib Bhattacharyya — 2014
• Low-Rank Preserving ProjectionsYuwu Lu, Zhihui Lai, Yong Xu — 2016

Related papers

• Subspace ClusteringRenè Vidal — 2011
• Generalized principal component analysis (GPCA)René Vidal, Yi Ma, S. Shankar Sastry — 2005
• Distributed Optimization and Statistical Learning via the Alternating Direction Method of MultipliersStephen Boyd — 2011
• Robust principal component analysis?Emmanuel J. Candès, Xiaodong Li, Yi Ma — 2009
• Latent Low-Rank Representation for subspace segmentation and feature extractionGuangcan Liu, Shuicheng Yan — 2011
• Robust Face Recognition via Sparse RepresentationJohn Wright, A. Yang, Arvind Ganesh — 2009
• Acquiring linear subspaces for face recognition under variable lightingKuang-Chih Lee, J. Ho, David Kriegman — 2005
• From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and PoseAthinodoros S. Georghiades, Peter N. Belhumeur, David Kriegman — 2001
• Normalized cuts and image segmentationJianbo Shi, Jitendra Malik — 2000