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250102 ||| eng |
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|a 9783031330544
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| 100 |
1 |
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|a Boult, Terrance
|e [editor]
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| 245 |
0 |
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|a A Unifying Framework for Formal Theories of Novelty
|h Elektronische Ressource
|b Discussions, Guidelines, and Examples for Artificial Intelligence
|c edited by Terrance Boult, Walter Scheirer
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| 250 |
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|a 1st ed. 2024
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| 260 |
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|a Cham
|b Springer Nature Switzerland
|c 2024, 2024
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| 300 |
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|a XV, 110 p. 35 illus., 33 illus. in color
|b online resource
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| 505 |
0 |
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|a 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
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| 653 |
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|a Computer Imaging, Vision, Pattern Recognition and Graphics
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Pattern recognition systems
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| 653 |
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|a Computer vision
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| 653 |
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|a Machine learning
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Image processing
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| 653 |
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|a Image Processing
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| 653 |
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|a Image processing / Digital techniques
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| 653 |
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|a Computer Vision
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| 653 |
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|a Machine Learning
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| 700 |
1 |
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|a Scheirer, Walter
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Synthesis Lectures on Computer Vision
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| 028 |
5 |
0 |
|a 10.1007/978-3-031-33054-4
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-33054-4?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.37
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| 520 |
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|a 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.
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