Generalized Principal Component Analysis (GPCA)

17 February 2012

Papers citing "Generalized Principal Component Analysis (GPCA)"

50 / 191 papers shown

Title
Label-independent hyperparameter-free self-supervised single-view deep subspace clustering Lovro Sindicic Ivica Kopriva 68 0 0 25 Apr 2025
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach Kunpeng Xu Lifei Chen Shengrui Wang 106 1 0 10 Jan 2025
Unsupervised Congestion Status Identification Using LMP Data Kedi Zheng Qixin Chen Yijiao Wang Chongqing Kang Le Xie 87 14 0 15 Nov 2024
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings Samuel A. Moore B. Mann Boyuan Chen AI4CE 81 1 0 01 Nov 2024
Stochastic Exploration of Real Varieties via Variety Distributions David Kahle Jonathan D Hauenstein 31 0 0 21 Oct 2024
Maximum likelihood inference for high-dimensional problems with multiaffine variable relations Jean-Sébastien Brouillon Florian Dörfler Giancarlo Ferrari-Trecate 93 0 0 05 Sep 2024
A theory of stratification learning Eddie Aamari Clément Berenfeld 89 0 0 30 May 2024
Controlling the False Discovery Rate in Subspace Selection Mateo Díaz Venkat Chandrasekaran 68 0 0 14 Apr 2024
Nonlinear subspace clustering by functional link neural networks Long Shi Lei Cao Zhongpu Chen Badong Chen Yu Zhao 27 4 0 03 Feb 2024
Fun with Flags: Robust Principal Directions via Flag Manifolds Nathan Mankovich Gustau Camps-Valls Tolga Birdal 65 6 0 08 Jan 2024
Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose Mihaela Curmei Daniel L. Jiang Jamie Morgenstern Sarah Dean Lillian J. Ratliff Maryam Fazel 64 5 0 19 Dec 2023
Inverse Problems with Learned Forward Operators Simon Arridge Andreas Hauptmann Yury Korolev 74 1 0 21 Nov 2023
Optimal Image Transport on Sparse Dictionaries Junqing Huang Haihui Wang A. Weiermann Michael Ruzhansky OT 45 1 0 03 Nov 2023
Representation Learning via Manifold Flattening and Reconstruction Michael Psenka Druv Pai Vishal Raman S. Sastry Yi Ma 75 10 0 02 May 2023
On Interpretable Approaches to Cluster, Classify and Represent Multi-Subspace Data via Minimum Lossy Coding Length based on Rate-Distortion Theory Kaige Lu Avraham Chapman 62 0 0 21 Feb 2023
HeMPPCAT: Mixtures of Probabilistic Principal Component Analysers for Data with Heteroscedastic Noise Alec S. Xu Laura Balzano Jeffrey A. Fessler 11 2 0 21 Jan 2023
Principal Component Analysis in Space Forms Puoya Tabaghi Michael Khanzadeh Yusu Wang Sivash Mirarab 77 8 0 06 Jan 2023
Unsupervised Manifold Linearizing and Clustering Tianjiao Ding Shengbang Tong Kwan Ho Ryan Chan Xili Dai Yi Ma B. Haeffele 91 12 0 04 Jan 2023
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints Fan He Ruikai Yang Lei Shi Xiaolin Huang 69 2 0 29 Nov 2022
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 130 43 0 20 Oct 2022
Snapshot of Algebraic Vision Joe Kileel Kathlén Kohn 54 14 0 20 Oct 2022
Non-Negative Matrix Factorization with Scale Data Structure Preservation R. Hedjam A. Abdesselam Abderrahmane Rahiche M. Cheriet 19 0 0 22 Sep 2022
Approximate Vanishing Ideal Computations at Scale Elias Wirth Hiroshi Kera Sebastian Pokutta 61 12 0 04 Jul 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Yi Ma 89 6 0 18 Jun 2022
Sparse Subspace Clustering in Diverse Multiplex Network Model M. Noroozi Marianna Pensky 65 9 0 15 Jun 2022
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering Peng Wang Huikang Liu Anthony Man-Cho So Laura Balzano 84 11 0 11 Jun 2022
Self-Supervised Deep Subspace Clustering with Entropy-norm G. Zhao Simin Kou Xuesong Yin 57 1 0 10 Jun 2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation Adarsh Barik Jean Honorio 21 6 0 02 Jun 2022
Enriched Robust Multi-View Kernel Subspace Clustering Mengyuan Zhang Kai-Chun Liu 67 3 0 21 May 2022
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions M. Rahmani 49 1 0 08 Jan 2022
Deep Attention-guided Graph Clustering with Dual Self-supervision Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 74 25 0 10 Nov 2021
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid Yogesh Kulkarni Sayf Hussain Z K. Ramamritham Nivethitha Somu 27 5 0 09 Oct 2021
Subspace Change-Point Detection via Low-Rank Matrix Factorisation Euan T. McGonigle Hankui Peng 78 1 0 08 Oct 2021
Large sample spectral analysis of graph-based multi-manifold clustering Nicolas García Trillos Pengfei He Chenghui Li 132 6 0 28 Jul 2021
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications Mingyuan Bai S. Choy Junping Zhang Junbin Gao AI4TS 33 1 0 22 Jul 2021
Structure-Regularized Attention for Deformable Object Representation Shenao Zhang Li Shen Zhifeng Li Wei Liu 41 1 0 12 Jun 2021
Reconstructing Small 3D Objects in front of a Textured Background Petr Hrubý Tomas Pajdla 28 2 0 24 May 2021
A Forward Backward Greedy approach for Sparse Multiscale Learning P. Shekhar A. Patra 42 6 0 14 Feb 2021
Quadric Hypersurface Intersection for Manifold Learning in Feature Space Fedor Pavutnitskiy Sergei Ivanov E. Abramov Viacheslav Borovitskiy Artem Klochkov V. Vialov A. Zaikovskii Aleksandr Petiushko 31 1 0 11 Feb 2021
Multiscale regression on unknown manifolds Wenjing Liao Mauro Maggioni Stefano Vigogna 65 9 0 13 Jan 2021
Probabilistic Contrastive Principal Component Analysis Didong Li Andrew Jones Barbara E. Engelhardt 63 17 0 14 Dec 2020
Kernel Two-Dimensional Ridge Regression for Subspace Clustering Chong Peng Qian Zhang Zhao Kang Chenglizhao Chen Q. Cheng 53 35 0 03 Nov 2020
Improved Dimensionality Reduction of various Datasets using Novel Multiplicative Factoring Principal Component Analysis (MPCA) Chisom Ezinne Ogbuanya 11 1 0 25 Sep 2020
Convex Subspace Clustering by Adaptive Block Diagonal Representation Yunxia Lin Songcan Chen 36 5 0 20 Sep 2020
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces Weikai Li Songcan Chen 65 27 0 01 Sep 2020
Principal Ellipsoid Analysis (PEA): Efficient non-linear dimension reduction & clustering Debolina Paul Saptarshi Chakraborty Didong Li David B. Dunson 13 5 0 17 Aug 2020
Generalized Penalty for Circular Coordinate Representation Hengrui Luo Alice Patania Jisu Kim Mikael Vejdemo-Johansson 22 10 0 03 Jun 2020
Is an Affine Constraint Needed for Affine Subspace Clustering? Chong You Chun-Guang Li Daniel P. Robinson René Vidal 67 25 0 08 May 2020
Low-rank matrix completion theory via Plucker coordinates M. Tsakiris 75 11 0 26 Apr 2020
List Decodable Subspace Recovery P. Raghavendra Morris Yau 103 25 0 07 Feb 2020