Ping Li

most citedNonlinear Estimators and Tail Bounds for Dimension Reduction in

l_{1}

Using Cauchy Random Projections

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2013

Exact Sparse Recovery with L0 Projections

Ping Li, Cun-Hui Zhang

Many applications concern sparse signals, for example, detecting anomalies from the differences between consecutive images taken by surveillance cameras. This paper focuses on the…

cs.DS2006★ 2 cited

Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_{1}$ Using Cauchy Random Projections

Ping Li, Trevor J. Hastie, Kenneth W. Church

For dimension reduction in $l_{1}$ , the method of {\em Cauchy random projections} multiplies the original data matrix $A \in R^{n \times D}$ with a random matrix $\ma…

Exact Sparse Recovery with L0 Projections

Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1​ Using Cauchy Random Projections

Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_{1}$ Using Cauchy Random Projections