dimensionality reduction

Multi-View Multiple Clustering IJCAI 2019 NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction CVPR 2019 Noisy Dual Principal Component Pursuit ICML 2019 Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering IJCAI 2019 No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NeurIPS 2019 On Geometric Alignment in Low Doubling Dimension AAAI 2019 Online Factorization and Partition of Complex Networks by Random Walk UAI 2019 On the Intrinsic Dimensionality of Image Representations CVPR 2019 Order-Preserving Wasserstein Discriminant Analysis ICCV 2019 Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae ACL 2019 Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019 Precision-Recall Balanced Topic Modelling NeurIPS 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019 Random Projection in Neural Episodic Control ACML 2019 Random Projections with Asymmetric Quantization NeurIPS 2019 Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering ICCV 2019 RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace AAAI 2019 Scalable Interpretable Multi-Response Regression via SEED JMLR 2019 Semi-Supervised Feature Selection with Adaptive Discriminant Analysis AAAI 2019 Single Training Dimension Selection for Word Embedding with PCA EMNLP 2019 Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Subspace Pooling Based Temporal Features Extraction for Audio Event Recognition Interspeech 2019 Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels NeurIPS 2019 Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization AISTATS 2019