Search Results for author:
Found 4 papers, 0 papers with code
A selective review of sufficient dimension reduction for multivariate response regression
The inverse regression family include pooled marginal estimators, projective resampling estimators, and distance-based estimators.
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
This paper introduces and investigates the utilization of maximum and average distance correlations for multivariate independence testing.
Sparse Representation Classification via Screening for Graphs
The sparse representation classifier (SRC) is shown to work well for image recognition problems that satisfy a subspace assumption.
Sparse Representation Classification Beyond L1 Minimization and the Subspace Assumption
The results are demonstrated via simulations and real data experiments, where the new algorithm achieves comparable numerical performance and significantly faster.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
