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Bregman Divergences for Infinite Dimensional Covariance Matrices

Bregman Divergences for Infinite Dimensional Covariance Matrices

18 March 2014
Mehrtash Harandi
Mathieu Salzmann
Fatih Porikli
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Papers citing "Bregman Divergences for Infinite Dimensional Covariance Matrices"

4 / 4 papers shown
Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
184
8
0
31 Mar 2025
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite
  Matrices
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
Sadeep Jayasumana
Leonid Sigal
Mathieu Salzmann
Hongdong Li
Mehrtash Harandi
44
297
0
13 Dec 2014
Sparse Coding and Dictionary Learning for Symmetric Positive Definite
  Matrices: A Kernel Approach
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach
Mehrtash T. Harandi
Conrad Sanderson
Leonid Sigal
Brian C. Lovell
58
205
0
16 Apr 2013
Regularized estimation of large covariance matrices
Regularized estimation of large covariance matrices
Peter J. Bickel
Elizaveta Levina
375
1,385
0
13 Mar 2008
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