Sparse subspace clustering

Keywords

Linear subspace, Spectral clustering, Cluster analysis, Outlier, Computer science

References

• Robust Recovery of Signals From a Union of SubspacesYonina C. Eldar, Moshe Mishali — 2008
• Segmentation of multivariate mixed data via lossy coding and compressionHarm Derksen, Yi Ma, Wei Hong — 2007
• Unsupervised segmentation of natural images via lossy data compressionAllen Y. Yang, John Wright, Yi Ma — 2008
• Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed DataYi Ma, Allen Y. Yang, Harm Derksen — 2008
• Spectral Curvature Clustering (SCC)Guangliang Chen, Gilad Lerman — 2009
• A Simple Proof of the Restricted Isometry Property for Random MatricesRichard G. Baraniuk, Mark A. Davenport, Ronald DeVore — 2008
• For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solutionDavid L. Donoho — 2006
• Multiframe Motion Segmentation with Missing Data Using PowerFactorization and GPCARené Vidal, Roberto Tron, Richard Hartley — 2008
• Discriminative learned dictionaries for local image analysisJulien Mairal, Francis Bach, Jean Ponce — 2008
• 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
• Sparse Representation for Color Image RestorationJulien Mairal, Michael Elad, Guillermo Sapiro — 2008
• Counting faces of randomly-projected polytopes when the projection radically lowers dimensionDavid L. Donoho, Jared Tanner — 2006
• A Multibody Factorization Method for Independently Moving ObjectsJoão Paulo Costeira, Takeo Kanade — 1998
• Multibody grouping by inference of multiple subspaces from high-dimensional data using oriented-framesZhimin Fan, Jie Zhou, Ying Wu — 2006
• Clustering appearances of objects under varying illumination conditionsJ. Ho, Ming-Husang Yang, Jongwoo Lim — 2003
• Decoding by linear programmingEmmanuel J. Candès, Terence Tao — 2005
• Robust Face Recognition via Sparse RepresentationJohn Wright, A. Yang, Arvind Ganesh — 2009
• Regression Shrinkage and Selection via the LassoRobert Tibshirani — 1996
• Motion segmentation by subspace separation and model selectionKenichi Kanatani — 2001

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
• Algorithms for image saliency via sparse representation and multi-scale inputs image retargetingMinh Hoang — 2011
• Robust Subspace Segmentation by Low-Rank RepresentationGuangcan Liu, Zhouchen Lin, Yong Yu — 2010
• Statistical Models and Optimization Algorithms for High-Dimensional Computer Vision ProblemsK. Mitra — 2011
• Single Image Super Resolution via Manifold ApproximationChinh Dang, Hayder Radha — 2014
• Reduction and Null Space Algorithms for the Subspace Clustering ProblemAkram Aldroubi, Ali Sekmen — 2010
• Efficient Subspace Segmentation via Quadratic ProgrammingShusen Wang, Xiao–Tong Yuan, Tiansheng Yao — 2011
• A Convex Formulation for Mixed Regression: Near Optimal Rates in the Face of NoiseYudong Chen, Xinyang Yi, Constantine Caramanis — 2013
• Reconstruction of Sub-Nyquist Random Sampling for Sparse and Multi-Band SignalsAmir Zandieh, Alireza Zareian, Masoumeh Azghani — 2014
• Riemannian Multi-Manifold ModelingXu Wang, Konstantinos Slavakis, Gilad Lerman — 2014
• Structured Sparse Recovery via Convex OptimizationEhsan Elhamifar, René Vidal — 2011
• A non-negative representation learning algorithm for selecting neighborsLili Li, Jiancheng Lv, Yi Zhang — 2016
• MSEE: Stochastic Cognitive Linguistic Behavior Models for Semantic SensingHong Man, Yueyue Yao — 2013
• Learning discriminative sparse models for source separation and mapping of hyperspectral imageryAlexey Castrodad, Zhengming Xing, John B. Greer — 2010
• Relation among images: Modelling, optimization and applicationsBin Shen — 2014
• Sampling Theory: Beyond Bandlimited SystemsYonina C. Eldar — 2015
• Manifold clustering for motion segmentationLuca Zappella — 2011
• Segmentation of Subspaces in Sequential DataStephen Tierney, Yi Guo, Junbin Gao — 2015
• Dynamic body VSLAM with semantic constraintsN. Dinesh Reddy, Prateek Singhal, Visesh Chari — 2015

Related papers

• Double Sparsity: Learning Sparse Dictionaries for Sparse Signal ApproximationRon Rubinstein, Michael Zibulevsky, Michael Elad — 2010
• A novel sparse representation algorithm for AIS real-time signalsShuaiheng Huai, Shufang Zhang — 2018
• Double sparse dictionary learning for image super resolutionLi Fang, Sanyuan Zhang — 2016
• Remote Sensing Images Super-resolution Based on Sparse Dictionaries and Residual DictionariesYingying Zhang, Wei Wu, Yong Dai — 2013
• Algorithm of Noise Reduction for Adaptive Dictionary Learning Research Based on Brain MRI ImagesJia Qing Miao — 2014
• A Novel Image Fusion Method Based on The Sparse K-SVD DictionaryGe Pen — 2015
• Learning Sparse Dictionaries for Sparse Signal ApproximationRon Rubinstein, Michael Zibulevsky, Michael Elad — 2009
• Sparse representation approach to inverse halftoning by means of K-SVD dictionaryMasahiro Hirao, Toshiaki Aida — 2015
• Sparse Representation of Vibration Signals Using Trained DictionaryJun Guo, Xiao Zheng, Xing Wei — 2014