Spatial Bayesian Cloth (Hardcover) - Walmart.com
Spatial and Spatio-Temporal Bayesian Models with R - Inla
Walmart
'Minimalist machine learning' algorithms analyze images from very little data
Mathematicians at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach "learns" much more quickly and requires far fewer images.
Hyperspectral Imaging Remote Sensing : Dimitris Manolakis,Ronald Lockwood,Thomas Cooley
Hyperspectral Imaging Remote Sensing : A practical and self-contained guide to the principles techniques models and tools of imaging spectroscopy. Bringing together material from essential physics and digital signal processing it covers key topics such as sensor design and calibration atmospheric inversion and model techniques and processing and exploitation algorithms. Readers will learn how to apply the main algorithms to practical problems how to choose the best algorithm ...
We think you’ll love these