conftrace_

riemannian manifold

169 papers

Explore in graph

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

Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification CVPR 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds NIPS 2016
Multitask Principal Component Analysis ACML 2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016
A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015
Manifold-valued Dirichlet Processes ICML 2015
Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold CVPR 2015
Context-Guided Diffusion for Label Propagation on Graphs ICCV 2015
A Metric Parametrization for Trifocal Tensors With Non-Colinear Pinholes CVPR 2015
Multi-Manifold Modeling in Non-Euclidean spaces AISTATS 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015
Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets CVPR 2015
Riemannian Coding and Dictionary Learning: Kernels to the Rescue CVPR 2015
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables CVPR 2015
More About VLAD: A Leap From Euclidean to Riemannian Manifolds CVPR 2015
On the Quotient Representation for the Essential Manifold CVPR 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Domain Adaptation on the Statistical Manifold CVPR 2014
Sparsity on Statistical Simplexes and Diversity in Social Ranking ACML 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition CVPR 2014
Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
Covariance Descriptors for 3D Shape Matching and Retrieval CVPR 2014