manifold learning

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering IJCAI 2018 The Sparse Manifold Transform NeurIPS 2018 Additive Component Analysis CVPR 2017 A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning CVPR 2017 Density Level Set Estimation on Manifolds with DBSCAN ICML 2017 Effective Semisupervised Learning on Manifolds COLT 2017 Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios AISTATS 2017 Flexible Orthogonal Neighborhood Preserving Embedding IJCAI 2017 G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017 Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017 Improved Graph Laplacian via Geometric Self-Consistency NeurIPS 2017 Learning Texture Manifolds with the Periodic Spatial GAN ICML 2017 Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction IJCAI 2017 Locality Preserving Projections for Grassmann manifold IJCAI 2017 Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017 Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours ALT 2017 Phone Classification Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs Interspeech 2017 Phoneme-Discriminative Features for Dysarthric Speech Conversion Interspeech 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017 Scalable Person Re-Identification on Supervised Smoothed Manifold CVPR 2017 Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017 Word Re-Embedding via Manifold Dimensionality Retention EMNLP 2017 A Locally Adaptive Normal Distribution NeurIPS 2016 Data driven estimation of Laplace-Beltrami operator NeurIPS 2016 Differential Geometric Regularization for Supervised Learning of Classifiers ICML 2016