Change Detection and Image Time Series Analysis 1 presents a wide range of unsupervised methods for temporal evolution analysis through the use of image time se

Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work in

This volume presents the first systematic overview of how event-related brain potential (ERP), cognitive electroencephalography (EEG), and functional magnetic i

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any rea

This text provides coverage of the fundamentals, the techniques, and the demonstrated results of a variety of projects in a manner accessible to both the novice