Robust Recovery of Subspace Structures by Low-Rank Representation
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- Type
- article
- Published
- 2010-10-14
- Cited by
- 3,534
- References
- 65
- Access
- Open access
- OpenAlex
- https://openalex.org/W1997201895
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2105943
Keywords
Linear subspace, Outlier, Subspace topology, Cluster analysis, Rank (graph theory)
References
- Robust Subspace Segmentation by Low-Rank Representation
- Multi-Stage Unsupervised Learning for Multi-Body Motion Segmentation
- Constrained Optimization and Lagrange Multiplier Methods
- Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
- A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography
- Matrix computations (3rd ed.)
- Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views
- Subspace system identification for training-based MIMO channel estimation
- Robust PCA via Outlier Pursuit
- Multi-task low-rank affinity pursuit for image segmentation
- Sparse subspace clustering
- Estimation of Subspace Arrangements with Applications in Modeling and Segmenting Mixed Data
- Hybrid Linear Modeling via Local Best-Fit Flats
- Median K-Flats for hybrid linear modeling with many outliers
- Spectral Curvature Clustering (SCC)
- Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations
- Spectral clustering based on local linear approximations
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
- A closed form solution to robust subspace estimation and clustering
- Matrix Completion With Noise
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- General Subspace Learning With Corrupted Training Data Via Graph Embedding
- Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis
- Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis
- Tree-Structured Nuclear Norm Approximation With Applications to Robust Face Recognition
- Inter-class sparsity based discriminative least square regression
- Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification
- Denoising PET Images Using Singular Value Thresholding and Stein's Unbiased Risk Estimate
- Riemannian Multi-Manifold Modeling
- Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations
- Subspace clustering using a symmetric low-rank representation
- Similarity-Preserving Binary Signature for Linear Subspaces
- Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices
- Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition
- Quality point cloud normal estimation by guided least squares representation
- Bilinear low-rank coding framework and extension for robust image recovery and feature representation
- Multi-View Low-Rank Analysis for Outlier Detection
- Moving object detection based on incremental learning low rank representation and spatial constraint
- Face Recognition Using A Low Rank Representation Based Projections Method
- Segmentation of Subspaces in Sequential Data