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riemannian manifold

169 papers

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Co-occurring keywords

manifold learning (403) kernel methods (1097) markov chain monte carlo (725) riemannian geometry (68) gaussian process (1200) representation learning (6206) manifold optimization (67) symmetric positive definite matrix (18) graph neural network (3962) dimensionality reduction (720)

Papers

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014
Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem CVPR 2013
Probabilistic Principal Geodesic Analysis NIPS 2013
Total Variation Regularization for Functions with Values in a Manifold ICCV 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013
Geometric optimisation on positive definite matrices for elliptically contoured distributions NIPS 2013
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers AISTATS 2013
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning ICML 2013
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013
Curvature-Aware Regularization on Riemannian Submanifolds ICCV 2013
Kernel Learning for Extrinsic Classification of Manifold Features CVPR 2013
Sparse Approximate Manifolds for Differential Geometric MCMC NIPS 2012
A Geometric take on Metric Learning NIPS 2012
Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NIPS 2011
Adaptive relative bundle adjustment RSS 2009
Submanifold density estimation NIPS 2009
Non-parametric Regression Between Manifolds NIPS 2008