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07/16/2019
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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06/17/2018
Tensor-Tensor Product Toolbox
Tensors are higher-order extensions of matrices. In recent work [Kilmer ...
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06/07/2018
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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05/23/2018
Subspace Clustering by Block Diagonal Representation
This paper studies the subspace clustering problem. Given some data poin...
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04/10/2018
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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12/08/2017
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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08/14/2017
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
This paper studies the Tensor Robust Principal Component (TRPCA) problem...
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05/23/2016
Accelerated Stochastic Mirror Descent Algorithms For Composite Non-strongly Convex Optimization
We consider the problem of minimizing the sum of an average function of ...
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05/07/2015
Adaptive Nonparametric Image Parsing
In this paper, we present an adaptive nonparametric solution to the imag...
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02/26/2015
Connections Between Nuclear Norm and Frobenius Norm Based Representations
A lot of works have shown that frobenius-norm based representation (FNR)...
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01/18/2015
Correntropy Induced L2 Graph for Robust Subspace Clustering
In this paper, we study the robust subspace clustering problem, which ai...
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01/18/2015
Correlation Adaptive Subspace Segmentation by Trace Lasso
This paper studies the subspace segmentation problem. Given a set of dat...
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12/06/2014
Generalized Singular Value Thresholding
This work studies the Generalized Singular Value Thresholding (GSVT) ope...
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04/29/2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization
As surrogate functions of L_0-norm, many nonconvex penalty functions hav...
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04/28/2014
Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Nonconvex Sparsity Optimization
This paper proposes the Proximal Iteratively REweighted (PIRE) algorithm...
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04/18/2014
Robust Face Recognition via Adaptive Sparse Representation
Sparse Representation (or coding) based Classification (SRC) has gained ...
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01/29/2014
