Correntropy-Induced Robust Low-Rank Hypergraph
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Yue Gao | Rongrong Ji | Xiaoshuai Sun | Dacheng Tao | Xibin Zhao | Taisong Jin | D. Tao | R. Ji | Yue Gao | Taisong Jin | Xiaoshuai Sun | Xibin Zhao
[1] Ran He,et al. Robust Semi-Supervised Learning Algorithm Based on Maximum Correntropy Criterion: Robust Semi-Supervised Learning Algorithm Based on Maximum Correntropy Criterion , 2012 .
[2] Qingshan Liu,et al. Elastic Net Hypergraph Learning for Image Clustering and Semi-Supervised Classification , 2016, IEEE Transactions on Image Processing.
[3] Sebastian Nowozin,et al. Image Segmentation UsingHigher-Order Correlation Clustering , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Yong Yu,et al. Robust Recovery of Subspace Structures by Low-Rank Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Amnon Shashua,et al. Probabilistic graph and hypergraph matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Bo Li,et al. Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering. , 2018, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
[7] Ying Tai,et al. Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Ling Shao,et al. Discriminative Elastic-Net Regularized Linear Regression , 2017, IEEE Transactions on Image Processing.
[9] Xuelong Li,et al. Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation , 2016, IEEE Transactions on Cybernetics.
[10] Ran He,et al. Nonnegative sparse coding for discriminative semi-supervised learning , 2011, CVPR 2011.
[11] Jonathan J. Hull,et al. A Database for Handwritten Text Recognition Research , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Meng Wang,et al. Adaptive Hypergraph Learning and its Application in Image Classification , 2012, IEEE Transactions on Image Processing.
[13] Junbin Gao,et al. Subspace Clustering via Learning an Adaptive Low-Rank Graph , 2018, IEEE Transactions on Image Processing.
[14] Zhenan Sun,et al. Robust Subspace Clustering With Complex Noise , 2015, IEEE Transactions on Image Processing.
[15] Weifeng Liu,et al. Correntropy: Properties and Applications in Non-Gaussian Signal Processing , 2007, IEEE Transactions on Signal Processing.
[16] David J. Kriegman,et al. Acquiring linear subspaces for face recognition under variable lighting , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Yi Ma,et al. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.
[18] Ran He,et al. Maximum Correntropy Criterion for Robust Face Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Shuicheng Yan,et al. Correntropy Induced L2 Graph for Robust Subspace Clustering , 2013, 2013 IEEE International Conference on Computer Vision.
[20] Yue Han,et al. Semi-supervised low-rank representation graph for pattern recognition , 2013, IET Image Process..
[21] Liang-Tien Chia,et al. Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Minsu Cho,et al. Hyper-graph matching via reweighted random walks , 2011, CVPR 2011.
[23] G. Sapiro,et al. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. , 2013, Journal of structural biology.
[24] Tieniu Tan,et al. Robust Low-Rank Representation via Correntropy , 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.
[25] Shuicheng Yan,et al. Latent Low-Rank Representation for subspace segmentation and feature extraction , 2011, 2011 International Conference on Computer Vision.
[26] Zhixun Su,et al. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation , 2011, NIPS.
[27] Meng Wang,et al. Visual Classification by ℓ1-Hypergraph Modeling , 2015, IEEE Trans. Knowl. Data Eng..
[28] Xuelong Li,et al. Constrained Nonnegative Matrix Factorization for Image Representation , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Tieniu Tan,et al. l2, 1 Regularized correntropy for robust feature selection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Choong-Ho Cho,et al. Hierarchical reduction and partition of hypergraph , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[31] Songhwai Oh,et al. Robust Elastic-Net Subspace Representation , 2016, IEEE Transactions on Image Processing.
[32] Daniel P. Robinson,et al. Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] Jinhui Tang,et al. Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features , 2014, IEEE Transactions on Image Processing.
[35] Gang Hua,et al. Hyperspectral Image Classification Through Bilayer Graph-Based Learning , 2014, IEEE Transactions on Image Processing.
[36] Ahmed M. Elgammal,et al. Learning Hypergraph-regularized Attribute Predictors , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Honggang Zhang,et al. Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[38] Jane You,et al. Low-rank matrix factorization with multiple Hypergraph regularizer , 2015, Pattern Recognit..
[39] Nanning Zheng,et al. Generalized Correntropy for Robust Adaptive Filtering , 2015, IEEE Transactions on Signal Processing.
[40] Zhengtao Yu,et al. Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation , 2015, Neurocomputing.
[41] Bo Li,et al. Information Theoretic Subspace Clustering , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[42] Yihong Gong,et al. Unsupervised Image Categorization by Hypergraph Partition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] R. Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications. , 2013, IEEE transactions on pattern analysis and machine intelligence.
[44] Pietro Perona,et al. Beyond pairwise clustering , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[45] Nenghai Yu,et al. Non-negative low rank and sparse graph for semi-supervised learning , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[46] Qingshan Liu,et al. Image retrieval via probabilistic hypergraph ranking , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[47] Shuyuan Yang,et al. Semi-supervised classification via kernel low-rank representation graph , 2014, Knowl. Based Syst..
[48] Edwin R. Hancock,et al. Joint hypergraph learning and sparse regression for feature selection , 2017, Pattern Recognit..
[49] Yue Gao,et al. 3-D Object Retrieval and Recognition With Hypergraph Analysis , 2012, IEEE Transactions on Image Processing.