Dense fast random projections and Lean Walsh transforms
From MaRDI portal
Publication:629831
DOI10.1007/s00454-010-9309-5zbMath1213.60024OpenAlexW2033143885MaRDI QIDQ629831
Amit Singer, Nir Ailon, Edo Liberty
Publication date: 10 March 2011
Published in: Discrete \& Computational Geometry (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00454-010-9309-5
Random matrices (probabilistic aspects) (60B20) Random operators and equations (aspects of stochastic analysis) (60H25) Probability theory on linear topological spaces (60B11)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A randomized algorithm for the decomposition of matrices
- Faster least squares approximation
- The Mailman algorithm: a note on matrix-vector multiplication
- Fast dimension reduction using Rademacher series on dual BCH codes
- The Johnson-Lindenstrauss lemma and the sphericity of some graphs
- Database-friendly random projections: Johnson-Lindenstrauss with binary coins.
- Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
- Randomized algorithms for the low-rank approximation of matrices
- Extensions of Lipschitz mappings into a Hilbert space
- On variants of the Johnson–Lindenstrauss lemma
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Sampling algorithms for l2 regression and applications
- Relative-Error $CUR$ Matrix Decompositions
- Optimized Projections for Compressed Sensing
- Fast computation of low rank matrix approximations
- Compressed sensing
This page was built for publication: Dense fast random projections and Lean Walsh transforms