dimensionality reduction

Compressed Least Squares Regression revisited AISTATS 2017 Convolutional 2D LDA for Nonlinear Dimensionality Reduction IJCAI 2017 Cross-Spectral Factor Analysis NeurIPS 2017 Dimension Estimation Using Random Connection Models JMLR 2017 Distance Covariance Analysis AISTATS 2017 Exemplar-centered Supervised Shallow Parametric Data Embedding IJCAI 2017 Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations NeurIPS 2017 Feature Hashing for Language and Dialect Identification ACL 2017 Fitting Low-Rank Tensors in Constant Time NeurIPS 2017 Flexible Orthogonal Neighborhood Preserving Embedding IJCAI 2017 Fried Binary Embedding for High-Dimensional Visual Features CVPR 2017 From which world is your graph NeurIPS 2017 Gaussian process based nonlinear latent structure discovery in multivariate spike train data NeurIPS 2017 Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering CVPR 2017 Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarity SemEval 2017 Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017 Joint Geometrical and Statistical Alignment for Visual Domain Adaptation CVPR 2017 Learning Low-Dimensional Metrics NeurIPS 2017 Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction IJCAI 2017 Locality Adaptive Discriminant Analysis IJCAI 2017 Locality Preserving Projections for Grassmann manifold IJCAI 2017 Multimodal Linear Discriminant Analysis via Structural Sparsity IJCAI 2017 Multi-Observation Elicitation COLT 2017 Multiscale Strategies for Computing Optimal Transport JMLR 2017 Multi-view Feature Learning with Discriminative Regularization IJCAI 2017