Overview: Covers the topic in a step-by-step manner.Includes simulations for understanding and potential experiments for a wide range of applications.Covers optimization on most used manifolds in machine learni.This book introduces in a constructive manner a general framework for regression and fitting methods for many applications and tasks involving data on manifolds. The methodology has important and varied applications in machine learning, medicine, robotics, biology, computer vision, human biometrics, nanomanufacturing, signal processing, and image analysis, etc...The first chapter gives
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