2 papers
stat.ML2024
l1-norm regularized l1-norm best-fit lines
Xiao Ling, Paul Brooks
In this work, we propose an optimization framework for estimating a sparse robust one-dimensional subspace. Our objective is to minimize both the representation error and the penal…
math.OC2020
-norm regularized -norm best-fit line problem
Xiao Ling, J. Paul Brooks
This work develops a sparse and outlier-insensitive method to fit a one-dimensional subspace that can be used as a replacement for eigenvector methods such as principal component a…