Learning a Self-Expressive Network for Subspace Clustering
暂无分享,去创建一个
René Vidal | Chong You | Chun-Guang Li | Shangzhi Zhang | R. Vidal | Chun-Guang Li | Chong You | Shangzhi Zhang
[1] Zhouchen Lin,et al. Self-Supervised Convolutional Subspace Clustering Network , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[3] Huan Xu,et al. Provable Subspace Clustering: When LRR Meets SSC , 2013, IEEE Transactions on Information Theory.
[4] Takeo Kanade,et al. A Multibody Factorization Method for Independently Moving Objects , 1998, International Journal of Computer Vision.
[5] Chong You,et al. Stochastic Sparse Subspace Clustering , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] S. Shankar Sastry,et al. Generalized Principal Component Analysis , 2016, Interdisciplinary applied mathematics.
[7] Fei Wang,et al. Deep Comprehensive Correlation Mining for Image Clustering , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[8] René Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications , 2012, IEEE transactions on pattern analysis and machine intelligence.
[9] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[10] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[11] Yong Yu,et al. Robust Subspace Segmentation by Low-Rank Representation , 2010, ICML.
[12] Emmanuel J. Candès,et al. A Geometric Analysis of Subspace Clustering with Outliers , 2011, ArXiv.
[13] 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).
[14] Matthias Schubert,et al. Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering , 2020, ArXiv.
[15] Roland Vollgraf,et al. Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms , 2017, ArXiv.
[16] Georgios B. Giannakis,et al. Sketched Subspace Clustering , 2017, IEEE Transactions on Signal Processing.
[17] Stéphane Mallat,et al. Invariant Scattering Convolution Networks , 2012, IEEE transactions on pattern analysis and machine intelligence.
[18] Giovanni Montana,et al. Subspace clustering of high-dimensional data: a predictive approach , 2012, Data Mining and Knowledge Discovery.
[19] Hans-Peter Kriegel,et al. Subspace clustering , 2012, WIREs Data Mining Knowl. Discov..
[20] Ehsan Elhamifar,et al. Sparse subspace clustering , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Zhang Yi,et al. Scalable Sparse Subspace Clustering , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Chong You,et al. Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction , 2020, NeurIPS.
[23] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[24] Shin Matsushima,et al. Selective Sampling-based Scalable Sparse Subspace Clustering , 2019, NeurIPS.
[25] René Vidal,et al. Theoretical Analysis of Sparse Subspace Clustering with Missing Entries , 2018, ICML.
[26] Daniel P. Robinson,et al. A Scalable Exemplar-Based Subspace Clustering Algorithm for Class-Imbalanced Data , 2018, ECCV.
[27] Daniel P. Robinson,et al. Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[29] René Vidal,et al. A closed form solution to robust subspace estimation and clustering , 2011, CVPR 2011.
[30] Chong You,et al. Classifying and Comparing Approaches to Subspace Clustering with Missing Data , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[31] Jun Li,et al. Sparse Subspace Clustering by Learning Approximation ℓ0 Codes , 2017, AAAI.
[32] Jiashi Feng,et al. Deep Adversarial Subspace Clustering , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Wei Liu,et al. Deep Spectral Clustering Using Dual Autoencoder Network , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Ali Farhadi,et al. Unsupervised Deep Embedding for Clustering Analysis , 2015, ICML.
[35] Nicolas Gillis,et al. Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms , 2021, Comput. Sci. Rev..
[36] Guillermo Sapiro,et al. See all by looking at a few: Sparse modeling for finding representative objects , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Liangpei Zhang,et al. Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[38] Ronen Basri,et al. SpectralNet: Spectral Clustering using Deep Neural Networks , 2018, ICLR.
[39] Tao Mei,et al. Subspace Clustering by Block Diagonal Representation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[41] Aswin C. Sankaranarayanan,et al. Greedy feature selection for subspace clustering , 2013, J. Mach. Learn. Res..
[42] Shuai Yang,et al. Residual Encoder-Decoder Network For Deep Subspace Clustering , 2019, 2020 IEEE International Conference on Image Processing (ICIP).
[43] René Vidal,et al. Geometric Conditions for Subspace-Sparse Recovery , 2015, ICML.
[44] Hongdong Li,et al. Neural Collaborative Subspace Clustering , 2019, ICML.
[45] Dhruv Batra,et al. Joint Unsupervised Learning of Deep Representations and Image Clusters , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] David J. Kriegman,et al. Clustering appearances of objects under varying illumination conditions , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[47] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[48] Chong You,et al. A Critique of Self-Expressive Deep Subspace Clustering , 2020, ArXiv.
[49] Sreeram Kannan,et al. ClusterGAN : Latent Space Clustering in Generative Adversarial Networks , 2018, AAAI.
[50] Michael William Newman,et al. The Laplacian spectrum of graphs , 2001 .
[51] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[52] Jiwen Lu,et al. Deep Sparse Subspace Clustering , 2017, ArXiv.
[53] Bernard Ghanem,et al. ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[54] Bo Li,et al. Information Theoretic Subspace Clustering , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[55] Cheng Deng,et al. Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[56] René Vidal,et al. Latent Space Sparse Subspace Clustering , 2013, 2013 IEEE International Conference on Computer Vision.
[57] Nebojsa Jojic,et al. -Sparse Subspace Clustering , 2016 .
[58] Huchuan Lu,et al. Subspace clustering by Mixture of Gaussian Regression , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Wei-Yun Yau,et al. Deep Subspace Clustering with Sparsity Prior , 2016, IJCAI.
[60] Guangliang Chen,et al. Spectral Curvature Clustering (SCC) , 2009, International Journal of Computer Vision.
[61] Daniel P. Robinson,et al. Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis , 2019, ArXiv.
[62] René Vidal,et al. On Geometric Analysis of Affine Sparse Subspace Clustering , 2018, IEEE Journal of Selected Topics in Signal Processing.
[63] Pietro Liò,et al. Graph Attention Networks , 2017, ICLR.
[64] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[65] Yuan Yan Tang,et al. Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[66] Mohammad Rahmati,et al. Scalable and Robust Sparse Subspace Clustering Using Randomized Clustering and Multilayer Graphs , 2018, Signal Process..
[67] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[68] Zhao Kang,et al. Subspace Clustering via Variance Regularized Ridge Regression , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[69] Daniel P. Robinson,et al. Is an Affine Constraint Needed for Affine Subspace Clustering? , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[70] R. Vidal. Identification of PWARX hybrid models with unknown and possibly different orders , 2004, Proceedings of the 2004 American Control Conference.
[71] René Vidal,et al. Structured Sparse Subspace Clustering: A Joint Affinity Learning and Subspace Clustering Framework , 2016, IEEE Transactions on Image Processing.
[72] Emmanuel J. Candès,et al. Robust Subspace Clustering , 2013, ArXiv.
[73] Daniel P. Robinson,et al. Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[74] Huan Xu,et al. Noisy Sparse Subspace Clustering , 2013, J. Mach. Learn. Res..
[75] Ronen Tamari,et al. Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions , 2017, ArXiv.
[76] Shuicheng Yan,et al. Latent Low-Rank Representation for subspace segmentation and feature extraction , 2011, 2011 International Conference on Computer Vision.
[77] Ehsan Elhamifar,et al. High-Rank Matrix Completion and Clustering under Self-Expressive Models , 2016, NIPS.
[78] René Vidal,et al. Algebraic Identification of MIMO SARX Models , 2008, HSCC.
[79] René Vidal,et al. A Structured Sparse Plus Structured Low-Rank Framework for Subspace Clustering and Completion , 2016, IEEE Transactions on Signal Processing.
[80] Vishal M. Patel,et al. Sparse Representation-Based Open Set Recognition , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[81] Akram Aldroubi,et al. Similarity matrix framework for data from union of subspaces , 2017, Applied and Computational Harmonic Analysis.
[82] Michael Elad,et al. Linear-Time Subspace Clustering via Bipartite Graph Modeling , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[83] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[84] Lingfeng Wang,et al. Deep Adaptive Image Clustering , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[85] Daniel P. Robinson,et al. Provable Self-Representation Based Outlier Detection in a Union of Subspaces , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[86] Handong Zhao,et al. Learnable Subspace Clustering , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[87] Shuicheng Yan,et al. Robust and Efficient Subspace Segmentation via Least Squares Regression , 2012, ECCV.
[88] Tong Zhang,et al. Deep Subspace Clustering Networks , 2017, NIPS.
[89] Ping Li,et al. Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit , 2015, ICML.