dimensionality reduction

An Information Geometry of Statistical Manifold Learning ICML 2014 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 A provable SVD-based algorithm for learning topics in dominant admixture corpus NeurIPS 2014 Circulant Binary Embedding ICML 2014 Cluster Canonical Correlation Analysis AISTATS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Compact Representation for Image Classification: To Choose or to Compress? CVPR 2014 Constructing Robust Affinity Graphs for Spectral Clustering CVPR 2014 Dimensionality Reduction with Subspace Structure Preservation NeurIPS 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Efficient Learning and Planning with Compressed Predictive States JMLR 2014 Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Grassmann Averages for Scalable Robust PCA CVPR 2014 Hierarchical Feature Hashing for Fast Dimensionality Reduction CVPR 2014 Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014 Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014 Low-dimensional models of neural population activity in sensory cortical circuits NeurIPS 2014 Memory and Computation Efficient PCA via Very Sparse Random Projections ICML 2014 Merging SVMs with Linear Discriminant Analysis: A Combined Model CVPR 2014 Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014 Optimal Mean Robust Principal Component Analysis ICML 2014 Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014