WebNov 7, 2024 · Based on the half-quadratic theory, the researchers designed a number of robust estimators, each of which could theoretically reduce the influence of outliers. In … WebTherefore, it is necessary to replace the quadratic formof residuals by lowering down the weight of noisy or corrupted region of samples. Instead of minimizing the non-quadratic and possiblynon-convexlossfunction,weproposetousetheM-estimatortechnique[ 17],whichcan be optimized by HQ minimization. The HQ optimization [25] is a unified framework ...
(PDF) Kernel Correntropy Conjugate Gradient …
WebMay 3, 2024 · By exploring the half-quadratic property of the model, a new method, which is termed as half-quadratic alternating direction method of multipliers (HQ-ADMM), … WebThen, the half-quadratic (HQ) optimization technique is adopted to solve the complex optimization problem of CHNMF. Finally, extensive experimental results on multi-cancer integrated data indicate that the proposed CHNMF method is superior to other state-of-the-art methods for clustering and feature selection. huntley brook
Symmetric Nonnegative Matrix Factorization Based on …
WebApr 13, 2024 · Derivative-free optimization tackles problems, where the derivatives of the objective function are unknown. However, in practical optimization problems, the derivatives of the objective function are often not available with respect to all optimization variables, but for some. In this work we propose the Hermite least squares optimization … WebDec 31, 2024 · The proposed approach can be implemented by the half-quadratic (HQ) optimization technique, and its asymptotic estimation and selection consistency are established. It turns out that MAM can achieve satisfactory learning rate and identify the target group structure with high probability. The effectiveness of MAM is also supported … huntley brinkley images