Related references
Note: Only part of the references are listed.Geometry-Aware Similarity Learning on SPD Manifolds for Visual Recognition
Zhiwu Huang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2018)
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
Mehrtash Harandi et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices
Anoop Cherian et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Learning Discriminative αβ-Divergences for Positive Definite Matrices
A. Cherian et al.
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)
Revisiting Metric Learning for SPD Matrix based Visual Representation
Luping Zhou et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels
Sadeep Jayasumana et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
Material Classification on Symmetric Positive Definite Manifolds
Masoud Faraki et al.
2015 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV) (2015)
Non-Parametric Filtering for Geometric Detail Extraction and Material Representation
Zicheng Liao et al.
2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2013)
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
Sadeep Jayasumana et al.
2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2013)
Geometric means in a novel vector space structure on symmetric positive-definite matrices
Vincent Arsigny et al.
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS (2007)
A Riemannian framework for tensor computing
X Pennec et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2006)