Vector Diffusion Maps and the Connection Laplacian

1 February 2011

Papers citing "Vector Diffusion Maps and the Connection Laplacian"

50 / 106 papers shown

Title
Survey: Geometric Foundations of Data Reduction Ce Ju 15 0 0 16 Aug 2020
Shonan Rotation Averaging: Global Optimality by Surfing $SO(p)^n$ F. Dellaert David M. Rosen Jing Wu Robert E. Mahony Luca Carlone 129 72 0 06 Aug 2020
A metric on directed graphs and Markov chains based on hitting probabilities Z. Boyd Nicolas Fraiman J. Marzuola P. Mucha Braxton Osting Jonathan Weare 56 9 0 25 Jun 2020
Disentangling by Subspace Diffusion David Pfau I. Higgins Aleksandar Botev S. Racanière DiffM DRL 79 37 0 23 Jun 2020
Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian Yunpeng Shi Shaohan Li Gilad Lerman 57 12 0 11 Jun 2020
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions Yuan Gao Jiang Liu Nan Wu 54 12 0 22 May 2020
Spectral Ranking with Covariates Siu Lun Chau Ning Zhang Dino Sejdinovic 49 9 0 08 May 2020
Learning multiview 3D point cloud registration Zan Gojcic Caifa Zhou Jan Dirk Wegner Leonidas Guibas Tolga Birdal 3DPC 110 167 0 15 Jan 2020
Scalability and robustness of spectral embedding: landmark diffusion is all you need Chao Shen Hau‐Tieng Wu 86 26 0 03 Jan 2020
Robust Group Synchronization via Cycle-Edge Message Passing Gilad Lerman Yunpeng Shi 98 31 0 24 Dec 2019
$Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples$ Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples David B. Dunson Hau‐Tieng Wu Nan Wu 114 65 0 11 Dec 2019
Hermitian matrices for clustering directed graphs: insights and applications Ning Zhang Huan Li He Sun Luca Zanetti 78 49 0 06 Aug 2019
$Unsupervised Co-Learning on $\mathcal{G}$-Manifolds Across Irreducible Representations$ Unsupervised Co-Learning on $\mathcal{G}$ -Manifolds Across Irreducible Representations Yifeng Fan Tingran Gao Zhizhen Zhao 39 5 0 06 Jun 2019
Ranking and synchronization from pairwise measurements via SVD Alexandre d’Aspremont Ning Zhang Hemant Tyagi 68 22 0 06 Jun 2019
Multi-Frequency Vector Diffusion Maps Yifeng Fan Zhizhen Zhao DiffM 68 13 0 06 Jun 2019
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy Yifeng Fan Tingran Gao Zhizhen Zhao 63 9 0 31 May 2019
Efficient Weingarten Map and Curvature Estimation on Manifolds Yueqi Cao Didong Li Huafei Sun A. Assadi Shiqiang Zhang 56 11 0 26 May 2019
Optimal Recovery of Precision Matrix for Mahalanobis Distance from High Dimensional Noisy Observations in Manifold Learning M. Gavish Ronen Talmon P. Su Hau‐Tieng Wu 47 8 0 19 Apr 2019
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps Yifeng Fan Zhizhen Zhao DiffM 31 8 0 16 Apr 2019
Learning Transformation Synchronization Xiangru Huang Zhenxiao Liang Xiaowei Zhou Yao Xie Leonidas Guibas Qi-Xing Huang 72 60 0 27 Jan 2019
An MBO scheme for clustering and semi-supervised clustering of signed networks Ning Zhang A. Pizzoferrato Y. Gennip 49 16 0 10 Jan 2019
When Locally Linear Embedding Hits Boundary Hau‐Tieng Wu Nan Wu 52 11 0 11 Nov 2018
Solving Jigsaw Puzzles By the Graph Connection Laplacian Vahan Huroyan Gilad Lerman Hau‐Tieng Wu 25 20 0 07 Nov 2018
Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification Yin Xian Hanlin Gu Wei Wang Xuhui Huang Yuan Yao Yang Wang Jian-Feng Cai 42 8 0 20 Oct 2018
Learning by Unsupervised Nonlinear Diffusion Mauro Maggioni James M. Murphy DiffM 57 41 0 15 Oct 2018
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach M. Budninskiy G. Yin Leman Feng Y. Tong M. Desbrun 59 20 0 23 Jun 2018
The Vector Heat Method Nicholas Sharp Yousuf Soliman Keenan Crane 58 91 0 23 May 2018
Connecting Dots -- from Local Covariance to Empirical Intrinsic Geometry and Locally Linear Embedding John Malik Chao Shen Hau-Tieng Wu Nan Wu 13 1 0 09 Apr 2018
Gaussian Process Landmarking on Manifolds Tingran Gao S. Kovalsky Ingrid Daubechies 127 39 0 09 Feb 2018
The steerable graph Laplacian and its application to filtering image data-sets Boris Landa Y. Shkolnisky 76 19 0 06 Feb 2018
Estimating the Reach of a Manifold Eddie Aamari Jisu Kim Frédéric Chazal Bertrand Michel Alessandro Rinaldo Larry Wasserman LM-Orsay 149 105 0 12 May 2017
Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation Eddie Aamari Clément Levrard 208 75 0 02 May 2017
Think globally, fit locally under the Manifold Setup: Asymptotic Analysis of Locally Linear Embedding Hau‐Tieng Wu Nan Wu 55 40 0 12 Mar 2017
Distributed methods for synchronization of orthogonal matrices over graphs J. Thunberg Florian Bernard Jorge M. Gonçalves 53 18 0 25 Jan 2017
Mahalanobis Distance for Class Averaging of Cryo-EM Images T. Bhamre Zhizhen Zhao A. Singer 62 11 0 10 Nov 2016
A Certifiably Correct Algorithm for Synchronization over the Special Euclidean Group David M. Rosen Luca Carlone Afonso S. Bandeira J. Leonard 167 348 0 01 Nov 2016
The Geometry of Synchronization Problems and Learning Group Actions Tingran Gao J. Brodzki S. Mukherjee 202 35 0 28 Oct 2016
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis Chelsea Weaver N. Saito 35 3 0 04 Jul 2016
Cohomology of Cryo-Electron Microscopy Ke Ye Lek-Heng Lim 45 10 0 05 Apr 2016
The Diffusion Geometry of Fibre Bundles: Horizontal Diffusion Maps Tingran Gao 121 20 0 07 Feb 2016
Latent common manifold learning with alternating diffusion: analysis and applications Ronen Talmon Hau‐Tieng Wu MedIm 74 44 0 30 Jan 2016
Multiple penalized principal curves: analysis and computation Slav Kirov D. Slepčev 40 9 0 15 Dec 2015
Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and Semidefinite Programming Synchronization Mihai Cucuringu 129 56 0 05 Apr 2015
Point Localization and Density Estimation from Ordinal kNN graphs using Synchronization Mihai Cucuringu J. Woodworth 20 2 0 03 Apr 2015
Hypoelliptic Diffusion Maps I: Tangent Bundles Tingran Gao 31 0 0 17 Mar 2015
Data-Driven Shape Analysis and Processing Kai Xu Vladimir G. Kim Qi-Xing Huang E. Kalogerakis 77 132 0 24 Feb 2015
Ricci Curvature and the Manifold Learning Problem Antonio G. Ache M. Warren 38 11 0 13 Oct 2014
Connection graph Laplacian methods can be made robust to noise N. Karoui Hau‐Tieng Wu 63 21 0 23 May 2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields Binbin Lin Ji Yang Xiaofei He Jieping Ye 82 12 0 01 May 2014
Graph connection Laplacian and random matrices with random blocks N. Karoui Hau‐Tieng Wu 99 12 0 01 Oct 2013