Description: Generalized Principal Component Analysis by Yi Ma, Shankar Sastry, René Vidal Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley. Publisher Description This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data drawn from one or multiple low-dimensional subspaces (or manifolds) and potentially corrupted by noise, gross errors, or outliers. This challenging task requires the development of new algebraic, geometric, statistical, and computational methods for efficient and robust estimation and segmentation of one or multiple subspaces. The book also presents interesting real-world applications of these new methods in image processing, image and video segmentation, face recognition and clustering, and hybrid system identification etc. This book is intended to serve as a textbook for graduate students and beginning researchers in data science, machine learning, computer vision, image and signal processing, and systems theory. It contains ample illustrations, examples, and exercises and is made largely self-contained with three Appendices which survey basic concepts and principles from statistics, optimization, and algebraic-geometry used in this book.René Vidal is a Professor of Biomedical Engineering and Director of the Vision Dynamics and Learning Lab at The Johns Hopkins University. Yi Ma is Executive Dean and Professor at the School of Information Science and Technology at ShanghaiTech University. S. Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley. Author Biography René Vidal is a Professor of Biomedical Engineering and Director of the Vision Dynamics and Learning Lab at The Johns Hopkins University.Yi Ma is Executive Dean and Professor at the School of Information Science and Technology at ShanghaiTech University.S. Shankar Sastry is Dean of the College of Engineering, Professor of Electrical Engineering and Computer Science and Professor of Bioengineering at the University of California, Berkeley. Details ISBN 1493979124 ISBN-13 9781493979127 Title Generalized Principal Component Analysis Author Yi Ma, Shankar Sastry, René Vidal Format Paperback Year 2018 Pages 566 Publisher Springer-Verlag New York Inc. GE_Item_ID:140242288; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 98.13 USD
Location: Fairfield, Ohio
End Time: 2024-04-21T02:26:03.000Z
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Restocking Fee: No
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ISBN-13: 9781493979127
Type: NA
Publication Name: NA
Book Title: Generalized Principal Component Analysis
Item Length: 9.2in
Item Height: 1.2in
Item Width: 6.1in
Author: René Vidal, Shankar Sastry, Yima
Format: Trade Paperback
Language: English
Topic: Computer Graphics, System Theory, Electronics / General
Publisher: Springer New York
Publication Year: 2018
Genre: Technology & Engineering, Computers, Science
Item Weight: 32 Oz
Number of Pages: Xxxii, 566 Pages