dimensionality reduction

Sparse PCA via Covariance Thresholding NeurIPS 2014 Subspace Embeddings for the Polynomial Kernel NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Training Highly Multiclass Classifiers JMLR 2014 Transfer Joint Matching for Unsupervised Domain Adaptation CVPR 2014 Uniqueness of Ordinal Embedding COLT 2014 Algorithms and Hardness for Robust Subspace Recovery COLT 2013 Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance CVPR 2013 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification CVPR 2013 Compressed Hashing CVPR 2013 Compressive Feature Learning NeurIPS 2013 Divvy: Fast and Intuitive Exploratory Data Analysis JMLR 2013 Efficient Higher-Order Clustering on the Grassmann Manifold ICCV 2013 Efficient Learning of Simplices COLT 2013 Efficient Multi-label Classification with Many Labels ICML 2013 Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013 Fast High Dimensional Vector Multiplication Face Recognition ICCV 2013 Fast Subspace Search via Grassmannian Based Hashing ICCV 2013 Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013 How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis JMLR 2013 Large-scale SVD and Manifold Learning JMLR 2013 Latent Space Sparse Subspace Clustering ICCV 2013 Learning a Manifold as an Atlas CVPR 2013 Learning a set of directions COLT 2013