Low-Rank Tensor Completion for Image and Video Recovery via Capped Nuclear Norm
暂无分享,去创建一个
Jie Li | Feng Li | Kun Yang | Jianjun Chen | Xi Chen | Yun Song | Kun Yang | Yun Song | Jie Li | Xi Chen | Feng Li | Jianjun Chen
[1] Yuan Yan Tang,et al. Weighted Joint Sparse Representation for Removing Mixed Noise in Image , 2017, IEEE Transactions on Cybernetics.
[2] Tamara G. Kolda,et al. Scalable Tensor Factorizations with Missing Data , 2010, SDM.
[3] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[4] Hongyang Chao,et al. Matrix completion with capped nuclear norm via majorized proximal minimization , 2018, Neurocomputing.
[5] Pierre Comon,et al. Multiarray Signal Processing: Tensor decomposition meets compressed sensing , 2010, ArXiv.
[6] Wotao Yin,et al. Parallel matrix factorization for low-rank tensor completion , 2013, ArXiv.
[7] Xingming Sun,et al. Residual domain dictionary learning for compressed sensing video recovery , 2017, Multimedia Tools and Applications.
[8] Eric L. Miller,et al. Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography , 2013, IEEE Transactions on Image Processing.
[9] Yuanyuan Liu,et al. Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization , 2016, AISTATS.
[10] Xuelong Li,et al. Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Shuicheng Yan,et al. Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm , 2015, IEEE Transactions on Image Processing.
[12] Wei Liu,et al. Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] John Wright,et al. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization , 2009, NIPS.
[14] Zemin Zhang,et al. Exact Tensor Completion Using t-SVD , 2015, IEEE Transactions on Signal Processing.
[15] Jieping Ye,et al. Robust principal component analysis via capped norms , 2013, KDD.
[16] Kung-Sik Chan,et al. Reduced rank regression via adaptive nuclear norm penalization. , 2012, Biometrika.
[17] Xingming Sun,et al. Detecting image seam carving with low scaling ratio using multi-scale spatial and spectral entropies , 2017, J. Vis. Commun. Image Represent..
[18] Zhenhua Guo,et al. Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank Regularization , 2017, IEEE Transactions on Multimedia.
[19] Nuria Oliver,et al. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering , 2010, RecSys '10.
[20] Xuelong Li,et al. Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation , 2016, IEEE Transactions on Cybernetics.
[21] Wei Liu,et al. Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Jian Yang,et al. Robust Subspace Segmentation Via Low-Rank Representation , 2014, IEEE Transactions on Cybernetics.
[23] Carla D. Martin,et al. An Order-p Tensor Factorization with Applications in Imaging , 2013, SIAM J. Sci. Comput..
[24] Jieping Ye,et al. Tensor Completion for Estimating Missing Values in Visual Data , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2008, Found. Comput. Math..
[26] Qionghai Dai,et al. Reweighted Low-Rank Matrix Recovery and its Application in Image Restoration , 2014, IEEE Transactions on Cybernetics.
[27] B. Recht,et al. Tensor completion and low-n-rank tensor recovery via convex optimization , 2011 .
[28] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[29] Zhihua Zhang,et al. A Concave Conjugate Approach for Nonconvex Penalized Regression with the MCP Penalty , 2013, AAAI.
[30] Fei Yu,et al. A Real-Time Dynamic Pricing Algorithm for Smart Grid With Unstable Energy Providers and Malicious Users , 2016, IEEE Internet of Things Journal.
[31] Gaobo Yang,et al. Fast CU size decision and mode decision algorithm for intra prediction in HEVC , 2015, Multimedia Tools and Applications.
[32] Guangming Shi,et al. Compressive Sensing via Nonlocal Low-Rank Regularization , 2014, IEEE Transactions on Image Processing.
[33] Zuowei Shen,et al. Robust video denoising using low rank matrix completion , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] Tianzhu Zhang,et al. Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning , 2017, IEEE Transactions on Cybernetics.
[35] M. Kilmer,et al. Factorization strategies for third-order tensors , 2011 .
[36] Christopher J. Hillar,et al. Most Tensor Problems Are NP-Hard , 2009, JACM.
[37] Shuicheng Yan,et al. Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements , 2018, IJCAI.
[38] Hongbin Zha,et al. Robust Matrix Factorization by Majorization Minimization , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Xiangjian He,et al. Tensor error correction for corrupted values in visual data , 2010, 2010 IEEE International Conference on Image Processing.