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Riemannian kernel based Nyström method for approximate
  infinite-dimensional covariance descriptors with application to image set
  classification
v1v2 (latest)

Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification

16 June 2018
Kaixuan Chen
Xiaojun Wu
Rui Wang
J. Kittler
ArXiv (abs)PDFHTML

Papers citing "Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification"

4 / 4 papers shown
Title
Riemannian Complex Matrix Convolution Network for PolSAR Image
  Classification
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification
Junfei Shi
Wei Wang
Haiyan Jin
Mengmeng Nie
Shanshan Ji
15
1
0
06 Dec 2023
Distribution-Based Trajectory Clustering
Distribution-Based Trajectory Clustering
Zijing Wang
Ye Zhu
Kai Ming Ting
OOD
30
0
0
08 Oct 2023
Collaborative Representation for SPD Matrices with Application to
  Image-Set Classification
Collaborative Representation for SPD Matrices with Application to Image-Set Classification
Li-li Chu
Rui Wang
Xiaojun Wu
46
1
0
22 Jan 2022
More About Covariance Descriptors for Image Set Coding: Log-Euclidean
  Framework based Kernel Matrix Representation
More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation
Kaixuan Chen
Xiaojun Wu
Jieyi Ren
Rui Wang
J. Kittler
30
6
0
16 Sep 2019
1