Geometry

Is your function low dimensional? COLT 2019 Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion CVPR 2019 Kernel Normalized Cut: a Theoretical Revisit ICML 2019 Large-Margin Classification in Hyperbolic Space AISTATS 2019 Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019 Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations ICML 2019 Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis JMLR 2019 Lorentzian Distance Learning for Hyperbolic Representations ICML 2019 Micro-Baseline Structured Light ICCV 2019 Multi-Frequency Vector Diffusion Maps ICML 2019 No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NeurIPS 2019 On Geometric Alignment in Low Doubling Dimension AAAI 2019 On the Curved Geometry of Accelerated Optimization NeurIPS 2019 Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019 Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras CVPR 2019 Qualitative Spatial Logic over 2D Euclidean Spaces Is Not Finitely Axiomatisable AAAI 2019 QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge ICCV 2019 Radial Distortion Triangulation CVPR 2019 Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves NeurIPS 2019 Reparameterizing Distributions on Lie Groups AISTATS 2019 Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019 Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019 Selecting the independent coordinates of manifolds with large aspect ratios NeurIPS 2019 The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation CVPR 2019 The Geometry of Deep Networks: Power Diagram Subdivision NeurIPS 2019