The class of random features is one of the most popular techniques to speed up kernel methods in large-scale problems. Related works have been recognized by the NeurIPS Test-of-Time award in 2017 a…
In this paper, we develop a quadrature framework for large-scale kernel machines via a numerical integration representation. Considering that the integration domain and measure of typical kernels, …
Image smoothing is a fundamental procedure in applications of both computer vision and graphics. The required smoothing properties can be different or even contradictive among different tasks. Neve…
Adversarial attacks on deep neural networks (DNNs) have been found for several years. However, the existing adversarial attacks have high success rates only when the information of the victim DNN i…
Traditional single-mode As-S fiber is limited in the transmission of high power mid-infrared laser by its low threshold of laser-induced damage. A single-mode chalcogenide (ChG) fiber based on Ge-A…
In light of the critical role of price information in consumers’ decision making, this study investigates the effect of price rank on consumers’ responses to product list advertising (PLA) thro…