Abstract: The proposed article aims to apply and compare supervised and unsupervised classification methods on Sentinel-2 imagery, employing the Normalized Difference Water Index (NDWI) to detect the ...

Last week, Tesla announced its long-gestating, highly controversial Robotaxis would start operating in Austin "unsupervised." (In other words, without a human safety monitor inside the car.) The ...

In this study, we employ a spatial unsupervised classification technique to analyze the spatio-temporal variability of Sea Surface Temperature (SST) in the tropical African zone. The methodology we ...

We introduce Semi-supervised Performance Evaluation for Face Recognition (SPE-FR). SPE-FR is a statistical method for evaluating the performance and algorithmic bias of face verification systems when ...

ABSTRACT: Classical machine learning, which is at the intersection of artificial intelligence and statistics, investigates and formulates algorithms which can be used to discover patterns in the given ...

Image Segmentation - Part 4: Unsupervised Machine Learning Tutorial tags/keywords unsupervised machine learning, clustering, k-means, image segmentation ...