dimensionality reduction

Efficient Large-Scale Similarity Search Using Matrix Factorization CVPR 2016 Efficient Private Empirical Risk Minimization for High-dimensional Learning ICML 2016 Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis CVPR 2016 Exponential Family Embeddings NeurIPS 2016 Feature selection in functional data classification with recursive maxima hunting NeurIPS 2016 Geometric Mean Metric Learning ICML 2016 Large Margin Discriminant Dimensionality Reduction in Prediction Space NeurIPS 2016 Learning a Discriminative Null Space for Person Re-Identification CVPR 2016 Megaman: Scalable Manifold Learning in Python JMLR 2016 Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016 Model-based Co-clustering for High Dimensional Sparse Data AISTATS 2016 Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness JMLR 2016 Multitask Principal Component Analysis ACML 2016 Nearly Isometric Embedding by Relaxation NeurIPS 2016 Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition Interspeech 2016 Online PCA with Optimal Regret JMLR 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Principal Component Projection Without Principal Component Analysis ICML 2016 Quantized Random Projections and Non-Linear Estimation of Cosine Similarity NeurIPS 2016 Random Features for Sparse Signal Classification CVPR 2016 Rich Component Analysis ICML 2016 Scalable Adaptive Stochastic Optimization Using Random Projections NeurIPS 2016 Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016 SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives COLING 2016 Single Pass PCA of Matrix Products NeurIPS 2016