UID:
almahu_9949744361602882
Format:
XV, 110 p. 35 illus., 33 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9783031330544
Series Statement:
Synthesis Lectures on Computer Vision,
Content:
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games. .
Note:
A Unifying Framework for Novelty -- Example Application of Framework: CartPole Domain -- Image Classification -- Novelty in Handwriting Recognition -- Visual Media Caption Domain -- Monopoly Multi-Agent Game Domain -- Related Work -- Prior Perspectives on Novelty and Conclusions.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031330537
Additional Edition:
Printed edition: ISBN 9783031330551
Additional Edition:
Printed edition: ISBN 9783031330568
Language:
English
DOI:
10.1007/978-3-031-33054-4
URL:
https://doi.org/10.1007/978-3-031-33054-4
