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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Minh, Hà Quang (Επιμελητής έκδοσης), Murino, Vittorio (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Advances in Computer Vision and Pattern Recognition,
• Θέματα: 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...