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Found 3 papers, 1 papers with code
A Homotopy Coordinate Descent Optimization Method for $l_0$-Norm Regularized Least Square Problem
This paper proposes a homotopy coordinate descent (HCD) method to solve the $l_0$-norm regularized least square ($l_0$-LS) problem for compressed sensing, which combine the homotopy technique with a variant of coordinate descent method.
Joint Adaptive Graph and Structured Sparsity Regularization for Unsupervised Feature Selection
After optimized, a subset of optimal features will be selected in group, and the number of selected features will be determined automatically.
Robust Multi-class Feature Selection via $l_{2,0}$-Norm Regularization Minimization
Feature selection is an important data pre-processing in data mining and machine learning, which can reduce feature size without deteriorating model's performance.
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