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Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

30 November 2014

Mehrtash Harandi

Papers citing "Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels"

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Title
Categorical and geometric methods in statistical, manifold, and machine learning H. Lê Hà Quang Minh Frederic Protin W. Tuschmann AI4CE 62 0 0 06 May 2025
Scalable Geometric Learning with Correlation-Based Functional Brain Networks Kisung You Yelim Lee Hae-Jeong Park 109 0 0 31 Mar 2025
Wasserstein-based Kernels for Clustering: Application to Power Distribution Graphs Alfredo Oneto B. Gjorgiev G. Sansavini 137 0 0 18 Mar 2025
Consistent Estimation of a Class of Distances Between Covariance Matrices Roberto Pereira Xavier Mestre Davig Gregoratti 53 1 0 18 Sep 2024
Bayesian Optimal Experimental Design for Robot Kinematic Calibration Ersin Daş Thomas Touma J. W. Burdick 125 0 0 17 Sep 2024
Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics Roberto Pereira Xavier Mestre 124 0 0 08 Aug 2024
COBRA - COnfidence score Based on shape Regression Analysis for method-independent quality assessment of object pose estimation from single images Panagiotis Sapoutzoglou Georgios Giapitzakis Tzintanos G. Terzakis Maria Pateraki 70 0 0 25 Apr 2024
Face-GPS: A Comprehensive Technique for Quantifying Facial Muscle Dynamics in Videos Juni Kim Zhikang Dong Paweł Polak CVBM 46 5 0 11 Jan 2024
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds H. T. Gowda Lee M Miller 59 3 0 14 Nov 2023
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach Nathael Da Costa Cyrus Mostajeran Juan-Pablo Ortega Salem Said 59 4 0 30 Oct 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space Kaushik Roy Peyman Moghadam Mehrtash Harandi 91 7 0 31 Jul 2023
Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee Yu Zhang Long Cheng Xiuze Xia Haoyu Zhang 96 0 0 20 Jun 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 101 8 0 05 Jun 2023
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy Siamak Ghodsi Eirini Ntoutsi 29 1 0 02 Jun 2023
Differential geometry with extreme eigenvalues in the positive semidefinite cone Cyrus Mostajeran Nathael Da Costa Graham W. Van Goffrier R. Sepulchre 70 4 0 14 Apr 2023
Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite Siran Li 53 3 0 12 Mar 2023
The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle Nathael Da Costa Cyrus Mostajeran Juan-Pablo Ortega BDL 59 4 0 21 Feb 2023
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification Biswadeep Chakraborty Saibal Mukhopadhyay 85 21 0 22 Sep 2022
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with log-Euclidean Metric Saiteja Utpala Praneeth Vepakomma Nina Miolane 68 8 0 08 Aug 2022
Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection Yujin Wu Mohamed Daoudi A. Amad L. Sparrow F. D’Hondt 30 2 0 17 Jul 2022
Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel Yutong Wang Clayton D. Scott 26 3 0 19 May 2022
The Flag Median and FlagIRLS Nathan Mankovich E. King C. Peterson Michael Kirby 121 10 0 08 Mar 2022
Marginalising over Stationary Kernels with Bayesian Quadrature Saad Hamid Sebastian Schulze Michael A. Osborne Stephen J. Roberts GP 55 4 0 14 Jun 2021
Online Informative Path Planning for Active Information Gathering of a 3D Surface Hai Zhu Jen Jen Chung Nicholas R. J. Lawrance Roland Siegwart Javier Alonso-Mora 50 43 0 17 Mar 2021
Probabilistic Learning Vector Quantization on Manifold of Symmetric Positive Definite Matrices Fengzhen Tang Haifeng Feng Peter Tiño Bailu Si Daxiong Ji 21 10 0 01 Feb 2021
Parzen Window Approximation on Riemannian Manifold A. Abhishek S. Verma 20 2 0 29 Dec 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds Noémie Jaquier Leonel Rozo 103 24 0 21 Oct 2020
Riemannian stochastic recursive momentum method for non-convex optimization Andi Han Junbin Gao ODL 50 18 0 11 Aug 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data Kristopher T. Jensen Ta-Chu Kao Marco Tripodi Guillaume Hennequin DRL 84 32 0 12 Jun 2020
Low-rank multi-parametric covariance identification A. Musolas E. Massart Julien Hendrickx P.-A. Absil Youssef Marzouk 17 2 0 25 Apr 2020
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning Noémie Jaquier Leonel Rozo Sylvain Calinon Mathias Bürger 75 54 0 11 Oct 2019
Person Re-identification in Aerial Imagery Shizhou Zhang Qi Zhang Yifei Yang Xing Wei Peng Wang Bingliang Jiao Yanning Zhang 87 75 0 14 Aug 2019
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories N. Otberdout Anis Kacem Mohamed Daoudi Lahoucine Ballihi Stefano Berretti CVBM 49 22 0 25 Oct 2018
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding Anis Kacem Mohamed Daoudi Boulbaba Ben Amor Stefano Berretti J. Alvarez-Paiva 85 68 0 29 Jun 2018
Deep Covariance Descriptors for Facial Expression Recognition N. Otberdout Anis Kacem Mohamed Daoudi Lahoucine Ballihi Stefano Berretti CVBM 61 29 0 10 May 2018
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams Tam Le M. Yamada 107 80 0 10 Feb 2018
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices Mohamed Daoudi Stefano Berretti P. Pala Y. Delevoye-Turrell A. Bimbo CVBM 58 32 0 22 Jul 2017
A Novel Space-Time Representation on the Positive Semidefinite Con for Facial Expression Recognition Anis Kacem Mohamed Daoudi Boulbaba Ben Amor Juan Carlos Élvarez Paiva CVBM 68 39 0 20 Jul 2017
Hierarchical Gaussian Descriptors with Application to Person Re-Identification Tetsu Matsukawa Takahiro Okabe Einoshin Suzuki Yoichi Sato 72 34 0 14 Jun 2017
Kernel clustering: density biases and solutions D. Marin Meng Tang Ismail Ben Ayed Yuri Boykov 91 44 0 16 May 2017
Locality Preserving Projections for Grassmann manifold Boyue Wang Yongli Hu Junbin Gao Yanfeng Sun Haoran Chen Baocai Yin 49 26 0 27 Apr 2017
Identifying networks with common organizational principles Anatol E. Wegner Luis Ospina-Forero Robert E. Gaunt Charlotte M. Deane Gesine Reinert 44 24 0 02 Apr 2017
Multivariate Regression with Gross Errors on Manifold-valued Data Xiaowei Zhang Xudong Shi Yu Sun Li Cheng 48 8 0 26 Mar 2017
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis Hiroyuki Kasai Hiroyuki Sato Bamdev Mishra 65 22 0 15 Mar 2017
Evolutionary Image Composition Using Feature Covariance Matrices Aneta Neumann Zygmunt L. Szpak W. Chojnacki Frank Neumann CoGe 36 14 0 10 Mar 2017
Riemannian stochastic variance reduced gradient algorithm with retraction and vector transport Hiroyuki Sato Hiroyuki Kasai Bamdev Mishra 146 58 0 18 Feb 2017
EEG Representation Using Multi-instance Framework on The Manifold of Symmetric Positive Definite Matrices for EEG-based Computer Aided Diagnosis Khadijeh Sadatnejad S. S. Ghidary Reza Rostami Reza Kazemi 19 1 0 08 Feb 2017
Building Deep Networks on Grassmann Manifolds Zhiwu Huang Jiqing Wu Luc Van Gool 103 163 0 17 Nov 2016
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification H. Q. Minh Marco San-Biagio Loris Bazzani Vittorio Murino 41 3 0 29 Sep 2016
Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video Zhiwu Huang Ruiping Wang Shiguang Shan Luc Van Gool Xilin Chen CVBM 71 70 0 15 Aug 2016