A class of nonparametric smoothing kernel methods for image processing and filtering that possess edge-preserving pro- perties is examined. The proposed approach is a nonlinearly modified version of the classical nonparametric regression estimates uti
Solving the global method of Weighted Least Squares (WLS) model in image filtering is both time- and memory- consuming. In this paper, we present an alternative ap- proximation in a time- and memory- efficient manner which is denoted as Semi-Global
M. Zhao, M. Kang, B. Tang, M. Pecht, “Deep Residual Networks with Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes,” IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4290-4300, 2018. https://ieeexp
