Weakly supervised methods for learning actions and objects : Reducing human intervention in learning visual concepts for Artificial Intelligence

Language: English

Published by LAP LAMBERT Academic Publishing, 2013

3659327549 / 9783659327544

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The past decade will be remembered as one of maturity for Artificial Intelligence (AI). Successful applications such as Google Goggles, Siri, IBM Watson have positively impacted people s everyday life. These systems are able to interpret in real-time highly complex natural signals, in the form of text, audio or video data: a task thought the exclusive domain of human intelligence before the two-thousands. This book discusses methods of computer vision, a branch of AI where the input for the system is represented by images and videos depicting visual scenes. Most computer vision tasks have the objective of recognizing visual concepts such as the presence of a particular object or the occurrence of a specific event in the input data. These systems learn visual concepts through examples (i.e. images) which have been manually annotated by humans. While this paradigm allowed the field to tremendously progress in the last decade, it has now become one of its major bottlenecks. This work tap into the wealth of visual data available on the net and presents methods able to exploit this information to learn visual concepts without the need of major human annotation effort.…

Seller Inventory # 9783659327544

Title
Weakly supervised methods for learning actions and objects : Reducing human intervention in learning visual concepts for Artificial Intelligence
Author
Alessandro Prest
Publisher
LAP LAMBERT Academic Publishing
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659327549
ISBN 13
9783659327544
Item weight
209 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

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