
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements
The recent proposed Tensor Nuclear Norm (TNN) [Lu et al., 2016; 2018a] i...
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Exact Recovery of Tensor Robust Principal Component Analysis under Linear Transforms
This work studies the Tensor Robust Principal Component Analysis (TRPCA)...
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Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted LowRank Tensors via Convex Optimization
This paper studies the Tensor Robust Principal Component (TRPCA) problem...
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Accelerated Stochastic Mirror Descent Algorithms For Composite Nonstrongly Convex Optimization
We consider the problem of minimizing the sum of an average function of ...
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Adaptive Nonparametric Image Parsing
In this paper, we present an adaptive nonparametric solution to the imag...
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Connections Between Nuclear Norm and Frobenius Norm Based Representations
A lot of works have shown that frobeniusnorm based representation (FNR)...
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Correntropy Induced L2 Graph for Robust Subspace Clustering
In this paper, we study the robust subspace clustering problem, which ai...
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Correlation Adaptive Subspace Segmentation by Trace Lasso
This paper studies the subspace segmentation problem. Given a set of dat...
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Generalized Singular Value Thresholding
This work studies the Generalized Singular Value Thresholding (GSVT) ope...
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Generalized Nonconvex Nonsmooth LowRank Minimization
As surrogate functions of L_0norm, many nonconvex penalty functions hav...
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Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
This paper proposes the Proximal Iteratively REweighted (PIRE) algorithm...
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Robust Face Recognition via Adaptive Sparse Representation
Sparse Representation (or coding) based Classification (SRC) has gained ...
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Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization
This work presents a general framework for solving the low rank and/or s...
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Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis
Spectral Clustering (SC) is a widely used data clustering method which f...
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Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
In this paper, we consider the Tensor Robust Principal Component Analysi...
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Subspace Clustering by Block Diagonal Representation
This paper studies the subspace clustering problem. Given some data poin...
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TensorTensor Product Toolbox
Tensors are higherorder extensions of matrices. In recent work [Kilmer ...
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