dimensionality reduction

The Power of Asymmetry in Binary Hashing NeurIPS 2013 Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds CVPR 2013 Toward Guaranteed Illumination Models for Non-convex Objects ICCV 2013 Transfer Feature Learning with Joint Distribution Adaptation ICCV 2013 A Geometric take on Metric Learning NeurIPS 2012 A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Convex Multi-view Subspace Learning NeurIPS 2012 Distance Preserving Embeddings for General n-Dimensional Manifolds COLT 2012 Factorized Diffusion Map Approximation AISTATS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Identification of Recurrent Patterns in the Activation of Brain Networks NeurIPS 2012 Isotropic Hashing NeurIPS 2012 Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NeurIPS 2012 Learning Manifolds with K-Means and K-Flats NeurIPS 2012 Local and Global Scaling Reduce Hubs in Space JMLR 2012 Locality Preserving Feature Learning AISTATS 2012 Near-optimal Differentially Private Principal Components NeurIPS 2012 Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012 On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap AISTATS 2012 Projection Retrieval for Classification NeurIPS 2012 Semiparametric Principal Component Analysis NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Statistical Optimization in High Dimensions AISTATS 2012