manifold learning

Locally Linear Embedding for Exemplar-Based Spectral Conversion Interspeech 2016 Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixels CVPR 2016 Megaman: Scalable Manifold Learning in Python JMLR 2016 Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness JMLR 2016 Nearly Isometric Embedding by Relaxation NeurIPS 2016 Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT 2016 PSyCo: Manifold Span Reduction for Super Resolution CVPR 2016 Synthesized Classifiers for Zero-Shot Learning CVPR 2016 Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM) NeurIPS 2015 Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables CVPR 2015 Hierarchical Sparse Coding With Geometric Prior For Visual Geo-Location CVPR 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior ICCV 2015 Landmarking Manifolds with Gaussian Processes ICML 2015 Local High-Order Regularization on Data Manifolds CVPR 2015 Multi-Manifold Deep Metric Learning for Image Set Classification CVPR 2015 Multi-Manifold Modeling in Non-Euclidean spaces AISTATS 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition CVPR 2015 Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision ICCV 2015 Riemannian Coding and Dictionary Learning: Kernels to the Rescue CVPR 2015 Robust Regression on Image Manifolds for Ordered Label Denoising CVPR 2015 Space-Time Local Embeddings NeurIPS 2015 Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015 Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations ICML 2015 An Information Geometry of Statistical Manifold Learning ICML 2014