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Dimensionality Reduction

707 papers

Papers per year

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Papers

Dense Non-rigid Point-Matching Using Random Projections CVPR 2013
Graph-Laplacian PCA: Closed-Form Solution and Robustness CVPR 2013
Learning a Manifold as an Atlas CVPR 2013
K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes CVPR 2013
Scalable Sparse Subspace Clustering CVPR 2013
Fast Subspace Search via Grassmannian Based Hashing ICCV 2013
A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013
Fast High Dimensional Vector Multiplication Face Recognition ICCV 2013
Robust Tucker Tensor Decomposition for Effective Image Representation ICCV 2013
A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution ICCV 2013
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution ICCV 2013
Sparse Uncorrelated Linear Discriminant Analysis ICML 2013
Principal Component Analysis on non-Gaussian Dependent Data ICML 2013
Forecastable Component Analysis ICML 2013
Scalable Optimization of Neighbor Embedding for Visualization ICML 2013
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013
Markov Network Estimation From Multi-attribute Data ICML 2013
Efficient Multi-label Classification with Many Labels ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Parallel Vector Field Embedding JMLR 2013
Super-Bit Locality-Sensitive Hashing NIPS 2012
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NIPS 2012