Co-occurring keywords · papers mentioning both
Papers
LSTD with Random Projections
NeurIPS 2010
Random Projections for k-means Clustering
NeurIPS 2010
Random Projection Trees Revisited
NeurIPS 2010
Compressed Least-Squares Regression
NeurIPS 2009
Locality-sensitive binary codes from shift-invariant kernels
NeurIPS 2009
One sketch for all: Theory and Application of Conditional Random Sampling
NeurIPS 2008
A Randomized Algorithm for Large Scale Support Vector Learning
NeurIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections
NeurIPS 2007
Compressed Regression
NeurIPS 2007
Learning the structure of manifolds using random projections
NeurIPS 2007
Random Projections for Manifold Learning
NeurIPS 2007
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
NeurIPS 2006