Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed in two-dimensional (2D) or three-dimensional (3D) space, offering a unique advantage by enabling easy conformal ...
SHeaP learns to predict head geometry (FLAME parameters) from a single image, by predicting and rendering 2D Gaussians. This repository contains code and models for the FLAME parameter inference only.
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Abstract: The increasing prevalence of sophisticated malware targeting software applications requires robust detection mechanisms, particularly for C/C++ codebases that underpin critical systems. This ...
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