GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
IEEE

Normalized Intrusion Convolution Kernel for Smart Perimeter Detection Using Mach-Zehnder Interferometer Fiber Sensors

Abstract: We present a convolutional neural network-based intrusion detection method called the normalized intrusion convolution kernel, integrated with a Mach-Zehnder Interferometer Optical Fiber ...
IEEE

Enhancing PET for crowd counting with adaptive thresholding and polar kernel convolution

Abstract: Crowd counting and localization in dense scenes face dual challenges: drastic density variations and insufficient local feature modeling. Existing methods typically rely on fixed confidence ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using JavaScript

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
CBS News

Altered and misleading images proliferate on social media after Maduro's capture

AI-generated images, old videos and altered photos proliferated on social media in the hours following former Venezuelan President Nicolás Maduro's capture. Several of these images quickly went viral, ...