Pages that link to "Item:Q4798181"

The following pages link to An elementary proof of a theorem of Johnson and Lindenstrauss (Q4798181):

Displaying 31 items.

• Dimension Reduction for Polynomials over Gaussian Space and Applications (Q5121916) (← links)
• On Using Toeplitz and Circulant Matrices for Johnson-Lindenstrauss Transforms (Q5136251) (← links)
• Structure from Randomness in Halfspace Learning with the Zero-One Loss (Q5139592) (← links)
• Targeted Random Projection for Prediction From High-Dimensional Features (Q5146048) (← links)
• (Q5148995) (← links)
• Blessing of dimensionality: mathematical foundations of the statistical physics of data (Q5154201) (← links)
• Uniform Error Estimates for the Lanczos Method (Q5158757) (← links)
• Random Projections for Linear Programming (Q5219688) (← links)
• Quasi-linear Compressed Sensing (Q5250350) (← links)
• Visual Categorization with Random Projection (Q5380331) (← links)
• Partitioning Well-Clustered Graphs: Spectral Clustering Works! (Q5737808) (← links)
• (Q5743469) (← links)
• Conservative confidence intervals on multiple correlation coefficient for high-dimensional elliptical data using random projection methodology (Q5861273) (← links)
• Johnson–Lindenstrauss Embeddings with Kronecker Structure (Q5885797) (← links)
• Greedy Algorithm Almost Dominates in Smoothed Contextual Bandits (Q5890034) (← links)
• Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification (Q6062237) (← links)
• A preconditioned iterative interior point approach to the conic bundle subproblem (Q6126660) (← links)
• Stable probability of reduced matrix obtained by Gaussian random projection (Q6139488) (← links)
• \( \varepsilon \)-isometric dimension reduction for incompressible subsets of \(\ell_p\) (Q6145674) (← links)
• On fast Johnson-Lindenstrauss embeddings of compact submanifolds of \(\mathbb{R}^N\) with boundary (Q6151027) (← links)
• Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers (Q6173264) (← links)
• The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification (Q6173569) (← links)
• Distributed estimation and inference for spatial autoregression model with large scale networks (Q6193070) (← links)
• On the distance to low-rank matrices in the maximum norm (Q6204176) (← links)
• Unsupervised robust discriminative subspace representation based on discriminative approximate isometric embedding (Q6488727) (← links)
• Constructing low-rank Tucker tensor approximations using generalized completion (Q6489425) (← links)
• An iterative method for the solution of Laplace-like equations in high and very high space dimensions (Q6493747) (← links)
• Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation (Q6550154) (← links)
• Solving, tracking and stopping streaming linear inverse problems (Q6569721) (← links)
• Holographic phenomenology via overlapping degrees of freedom (Q6603940) (← links)
• Dynamics-preserving compression for modal flow analysis (Q6663216) (← links)