Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Robust Subspace Segmentation with Block-Diagonal Prior
Efficient subspace segmentation via quadratic programming
Robust Subspace Clustering via Smoothed Rank Approximation
Foreground Segmentation with Tree-Structured Sparse RPCA
Motion Segmentation Via a Sparsity Constraint
Robust Latent Subspace Learning for Image Classification
Background Subtraction Based on a Robust Consensus Method
Robust Subspace Clustering via Tighter Rank Approximation
Table structure recognition based on robust block segmentation
An unsupervised object-level image segmentation method based on foreground and background priors
Robust Structured Subspace Learning for Data Representation
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Human Motion Segmentation via Robust Kernel Sparse Subspace Clustering
Robust clustering in arbitrarily oriented subspaces
Segmentation using eigenvectors: a unifying view
Learning Segmentation Masks with the Independence Prior
Robust principal component analysis based on low-rank and block-sparse matrix decomposition
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset
Block-Sparse RPCA for Salient Motion Detection
Compressive Sensing for Background Subtraction
Unsupervised segmentation based on robust estimation and color active contour models
Generative Adversarial Networks for Hyperspectral Image Classification
Principal Component Analysis
Bayesian Methods for Discovering Structure in Neural Spike Trains
algorithms in c + + - part 5 : graph algorithms ( 3 . ed . ) .
Security and Protocol Exploit Analysis of the 5G Specifications