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Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
v1v2 (latest)

Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels

30 November 2014
Sadeep Jayasumana
Leonid Sigal
Mathieu Salzmann
Hongdong Li
Mehrtash Harandi
ArXiv (abs)PDFHTML

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

11 / 61 papers shown
Title
Dimensionality reduction based on Distance Preservation to Local Mean
  (DPLM) for SPD matrices and its application in BCI
Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI
Alireza Davoudi
S. S. Ghidary
Khadijeh Sadatnejad
26
35
0
29 Jul 2016
Riemannian stochastic variance reduced gradient on Grassmann manifold
Riemannian stochastic variance reduced gradient on Grassmann manifold
Hiroyuki Kasai
Hiroyuki Sato
Bamdev Mishra
126
21
0
24 May 2016
Dimensionality Reduction on SPD Manifolds: The Emergence of
  Geometry-Aware Methods
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
Mehrtash Harandi
Mathieu Salzmann
Leonid Sigal
68
193
0
20 May 2016
Image segmentation with superpixel-based covariance descriptors in
  low-rank representation
Image segmentation with superpixel-based covariance descriptors in low-rank representation
Xianbin Gu
Jeremiah D. Deng
M. Purvis
18
4
0
18 May 2016
Optimized Kernel-based Projection Space of Riemannian Manifolds
Optimized Kernel-based Projection Space of Riemannian Manifolds
A. Alavi
Vishal M. Patel
Rama Chellappa
27
0
0
10 Feb 2016
Sliced Wasserstein Kernels for Probability Distributions
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri
Yang Zou
Gustavo K. Rohde
85
161
0
10 Nov 2015
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
Mehrtash Harandi
Mathieu Salzmann
Mahsa Baktash
60
48
0
31 Jul 2015
When VLAD met Hilbert
When VLAD met Hilbert
Mehrtash Harandi
Mathieu Salzmann
Fatih Porikli
VLM
30
1
0
30 Jul 2015
Riemannian Dictionary Learning and Sparse Coding for Positive Definite
  Matrices
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices
A. Cherian
S. Sra
72
119
0
10 Jul 2015
Kernel Cuts: MRF meets Kernel & Spectral Clustering
Kernel Cuts: MRF meets Kernel & Spectral Clustering
Meng Tang
D. Marin
Ismail Ben Ayed
Yuri Boykov
64
7
0
24 Jun 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
Aasa Feragen
F. Lauze
Søren Hauberg
BDL
118
144
0
02 Nov 2014
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