Co-occurring keywords · papers mentioning both
Papers
Compressed Counting Meets Compressed Sensing
COLT 2014
Histograms of Pattern Sets for Image Classification and Object Recognition
CVPR 2014
Making Fisher Discriminant Analysis Scalable
ICML 2014
New Bounds on Compressive Linear Least Squares Regression
AISTATS 2014
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces
NeurIPS 2013
Dense Non-rigid Point-Matching Using Random Projections
CVPR 2013
Estimating Unknown Sparsity in Compressed Sensing
ICML 2013
Large-Scale Learning with Less RAM via Randomization
ICML 2013
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions
ACML 2013
Random Projections for Support Vector Machines
AISTATS 2013
Recovering the Optimal Solution by Dual Random Projection
COLT 2013
Sharp Generalization Error Bounds for Randomly-projected Classifiers
ICML 2013
Sign Cauchy Projections and Chi-Square Kernel
NeurIPS 2013
Sketching Structured Matrices for Faster Nonlinear Regression
NeurIPS 2013
The Randomized Dependence Coefficient
NeurIPS 2013
Topic Discovery through Data Dependent and Random Projections
ICML 2013
Entropy Estimations Using Correlated Symmetric Stable Random Projections
NeurIPS 2012
FastEx: Hash Clustering with Exponential Families
NeurIPS 2012
Learning with Recursive Perceptual Representations
NeurIPS 2012
Linear Regression With Random Projections
JMLR 2012
Super-Bit Locality-Sensitive Hashing
NeurIPS 2012
A More Powerful Two-Sample Test in High Dimensions using Random Projection
NeurIPS 2011
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data
COLT 2011
Hashing Algorithms for Large-Scale Learning
NeurIPS 2011
Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
NeurIPS 2011