Algorithmic Advances in Riemannian Geometry and Applications For Machine Learning, Computer Vision, Statistics, and Optimization /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Minh, Hà Quang (Editor), Murino, Vittorio (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Advances in Computer Vision and Pattern Recognition,
• Subjects: Computer science.; Mathematical statistics.; Artificial intelligence.; Pattern recognition.; Computer science > Mathematics.; Computer mathematics.; Statistics.; Computational intelligence.; Computer Science.; Pattern Recognition.; Computational Intelligence.; Statistics and Computing/Statistics Programs.; Mathematical Applications in Computer Science.; Artificial Intelligence (incl. Robotics).; Probability and Statistics in Computer Science.

This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using...