Dimensionality Reduction

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 Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness JMLR 2016 Multitask Principal Component Analysis ACML 2016 Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 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 Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis COLING 2016 ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering CVPR 2016 Rich Component Analysis ICML 2016 Robust Tensor Factorization With Unknown Noise CVPR 2016 Single Pass PCA of Matrix Products NeurIPS 2016 Spectral Learning of Dynamic Systems from Nonequilibrium Data NeurIPS 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 Sublinear Time Orthogonal Tensor Decomposition NeurIPS 2016 Subspace Learning with Partial Information JMLR 2016 Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization CVPR 2016 Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016 Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams ICML 2015 A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data ICML 2015