Co-occurring keywords · papers mentioning both
Papers
Covariance Descriptors for 3D Shape Matching and Retrieval
CVPR 2014
Domain Adaptation on the Statistical Manifold
CVPR 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification
CVPR 2014
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images
CVPR 2014
On the Quotient Representation for the Essential Manifold
CVPR 2014
Optimizing Over Radial Kernels on Compact Manifolds
CVPR 2014
Positive Curvature and Hamiltonian Monte Carlo
NeurIPS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics
AISTATS 2014
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition
CVPR 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
NeurIPS 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking
ACML 2014
Adaptive Hamiltonian and Riemann Manifold Monte Carlo
ICML 2013
Curvature-Aware Regularization on Riemannian Submanifolds
ICCV 2013
Geometric optimisation on positive definite matrices for elliptically contoured distributions
NeurIPS 2013
Kernel Learning for Extrinsic Classification of Manifold Features
CVPR 2013
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices
CVPR 2013
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning
ICCV 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
ICML 2013
Probabilistic Principal Geodesic Analysis
NeurIPS 2013
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications
ICCV 2013
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
AISTATS 2013
Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
CVPR 2013
Total Variation Regularization for Functions with Values in a Manifold
ICCV 2013
A Geometric take on Metric Learning
NeurIPS 2012
Sparse Approximate Manifolds for Differential Geometric MCMC
NeurIPS 2012