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.
Abstract: In this letter, we devise two moving sampling schemes for two-dimensional (2D) direction-of-arrival (DOA) estimation using sparse planar arrays. The proposed schemes are applied to two ...
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 ...