37 citations · 51 across the 12 of their papers we have counts for
4 papers · 1 filter
A Homotopy Coordinate Descent Optimization Method for -Norm Regularized Least Square Problem
Zhenzhen Sun, Yuanlong Yu
This paper proposes a homotopy coordinate descent (HCD) method to solve the -norm regularized least square (-LS) problem for compressed sensing, which combine the homotop…
Joint Adaptive Graph and Structured Sparsity Regularization for Unsupervised Feature Selection
Zhenzhen Sun, Yuanlong Yu
Feature selection is an important data preprocessing in data mining and machine learning which can be used to reduce the feature dimension without deteriorating model's performance…
Robust Multi-class Feature Selection via -Norm Regularization Minimization
Zhenzhen Sun, Yuanlong Yu
Feature selection is an important data pre-processing in data mining and machine learning, which can reduce feature size without deteriorating model's performance. Recently, sparse…
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs
You Huang, Yuanlong Yu
Batch Normalization (BN) techniques have been proposed to reduce the so-called Internal Covariate Shift (ICS) by attempting to keep the distributions of layer outputs unchanged. Ex…