GRANULAR VIDEO COMPUTING - Chakraborty Debarati B
-25% koodilla BOOKS
Toimitus 17-23 arkipäivässä
30 päivän palautusoikeus
This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliabil ... Täydellinen kuvaus
Saatat myös pitää
TOP
Gödel, Escher, Bach: An Eternal Golden Braid
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
AI Engineering: Building Applications with Foundation Models
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Pragmatic Programmer: journey to mastery, 20th Anniversary Edition, 2/e: your journey to mastery, 20th Anniversary Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How To Think About AI: A Guide For The Perplexed
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Slanted 47 Digital Tools: Slanted Magazine
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Art of Game Design: A Book of Lenses
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How Linux Works: What Every Superuser Should Know
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Artificial Intelligence: A Modern Approach, Global Edition
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
CompTIA Security+ Certification Kit: Exam SY0-701
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Automate the Boring Stuff with Python
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Fundamentals of Software Architecture: A Modern Engineering Approach
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Hacking: The Art of Exploitation
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
HBR Guide to Generative AI for Managers
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Hackers. 25th Anniversary Edition: Heroes of the Computer Revolution
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training. This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing.
Lisätietoja
| Kirjoittaja | Chakraborty Debarati B |
|---|---|
| Julkaisija | World Scientific |
| Julkaisuvuosi | 2021 |
| Kannen tyyppi | Kovakantinen |
| EAN | 9789811227110 |