Generalized Principal Component Analysis (GPCA)

17 February 2012

Papers citing "Generalized Principal Component Analysis (GPCA)"

41 / 191 papers shown

Title
A survey of dimensionality reduction techniques C. Sorzano Javier Vargas A. Pascual-Montano 157 402 0 12 Mar 2014
Subspace clustering using a symmetric low-rank representation Jie Chen Hua Mao Yongsheng Sang Zhang Yi 76 41 0 07 Mar 2014
An Incidence Geometry approach to Dictionary Learning Meera Sitharam M. Tarifi Menghan Wang 40 4 0 28 Feb 2014
Dual-to-kernel learning with ideals Franz J. Király M. Kreuzer Louis Theran 92 12 0 01 Feb 2014
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness Mauro Maggioni Stanislav Minsker Nate Strawn 135 8 0 23 Jan 2014
Finding sparse solutions of systems of polynomial equations via group-sparsity optimization Fabien Lauer Henrik Ohlsson 52 7 0 22 Nov 2013
Alternating Minimization for Mixed Linear Regression Xinyang Yi Constantine Caramanis Sujay Sanghavi 103 26 0 14 Oct 2013
Learning Transformations for Clustering and Classification Qiang Qiu Guillermo Sapiro 97 80 0 09 Sep 2013
Noisy Sparse Subspace Clustering Yu Wang Huan Xu NoLa 142 202 0 05 Sep 2013
Learning Robust Subspace Clustering Qiang Qiu Guillermo Sapiro 50 4 0 01 Aug 2013
Robust Subspace Clustering via Thresholding Reinhard Heckel Helmut Bölcskei 136 156 0 18 Jul 2013
Noisy Subspace Clustering via Thresholding Reinhard Heckel Helmut Bölcskei NoLa 87 8 0 15 May 2013
Distributed Low-rank Subspace Segmentation Ameet Talwalkar Lester W. Mackey Yadong Mu Shih-Fu Chang Michael I. Jordan 86 35 0 20 Apr 2013
A New Approach To Two-View Motion Segmentation Using Global Dimension Minimization Bryan Poling Gilad Lerman 3DV 77 29 0 10 Apr 2013
Greedy Feature Selection for Subspace Clustering Eva L. Dyer Aswin C. Sankaranarayanan Richard G. Baraniuk 93 171 0 19 Mar 2013
Learning Stable Multilevel Dictionaries for Sparse Representations Jayaraman J. Thiagarajan Karthikeyan N. Ramamurthy A. Spanias 59 29 0 03 Mar 2013
Robust subspace clustering Mahdi Soltanolkotabi Ehsan Elhamifar Emmanuel J. Candès 149 366 0 11 Jan 2013
Graph Laplacians on Singular Manifolds: Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries M. Belkin Qichao Que Yusu Wang Xueyuan Zhou 87 35 0 28 Nov 2012
Tangent-based manifold approximation with locally linear models Sofia Karygianni P. Frossard 90 29 0 06 Nov 2012
Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering Xi Peng Zhiding Yu Huajin Tang Zhang Yi 152 236 0 05 Sep 2012
Towards a theory of statistical tree-shape analysis Aasa Feragen P. Lo Marleen de Bruijne Mads Nielsen F. Lauze 99 64 0 23 Jul 2012
Groupwise Constrained Reconstruction for Subspace Clustering Ruijiang Li Bin Li Kecheng Zhang Cheng Jin Xiangyang Xue 52 6 0 18 Jun 2012
Robust Multiple Manifolds Structure Learning Dian Gong Xuemei Zhao Gérard Medioni 102 58 0 18 Jun 2012
Learning Sets with Separating Kernels Ernesto De Vito Lorenzo Rosasco A. Toigo 118 52 0 16 Apr 2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications Ehsan Elhamifar René Vidal 165 2,335 0 05 Mar 2012
Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering Yaoliang Yu Dale Schuurmans 61 37 0 14 Feb 2012
High-Rank Matrix Completion and Subspace Clustering with Missing Data Brian Eriksson Laura Balzano Robert D. Nowak 100 67 0 23 Dec 2011
A geometric analysis of subspace clustering with outliers Mahdi Soltanolkotabi Emmanuel J. Candés 155 416 0 19 Dec 2011
Regression for sets of polynomial equations Franz J. Király P. V. Bünau J. Müller Duncan A. J. Blythe F. Meinecke K. Müller 64 10 0 20 Oct 2011
Algebraic Geometric Comparison of Probability Distributions Franz J. Király P. V. Bünau F. Meinecke Duncan A. J. Blythe K. Müller 109 12 0 06 Aug 2011
Robust recovery of multiple subspaces by geometric l_p minimization Gilad Lerman Teng Zhang 124 86 0 19 Apr 2011
Low-Rank Structure Learning via Log-Sum Heuristic Recovery Yue Deng Qionghai Dai Risheng Liu Zengke Zhang Sanqing Hu 101 120 0 09 Dec 2010
Hybrid Linear Modeling via Local Best-fit Flats Teng Zhang Arthur Szlam Yi Wang Gilad Lerman 150 204 0 17 Oct 2010
Towards Stratification Learning through Homology Inference Paul Bendich Sayan Mukherjee Bei Wang 99 15 0 20 Aug 2010
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity Guoshen Yu Guillermo Sapiro S. Mallat 120 610 0 15 Jun 2010
Randomized hybrid linear modeling by local best-fit flats Teng Zhang Arthur Szlam Yi Wang Gilad Lerman 131 47 0 05 May 2010
Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization Gilad Lerman Teng Zhang 130 22 0 09 Feb 2010
Median K-flats for hybrid linear modeling with many outliers Teng Zhang Arthur Szlam Gilad Lerman 111 173 0 16 Sep 2009
Motion Segmentation by SCC on the Hopkins 155 Database Guangliang Chen Gilad Lerman VOS 111 26 0 09 Sep 2009
Kernel Spectral Curvature Clustering (KSCC) Guangliang Chen Stefan Atev Gilad Lerman 124 46 0 09 Sep 2009
Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling Guangliang Chen Gilad Lerman 120 75 0 21 Oct 2008