Unifying Framework for Formal Theories of Novelty

Discussions, Guidelines, and Examples for Artificial Intelligence

AvTerrance Boult,Walter Scheirer

Häftad, Engelska, 2024

Del i serien Synthesis Lectures on Computer Vision

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Beskrivning

This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems.

Produktinformation

Utgivningsdatum:2024-08-03
Mått:168 x 240 x 8 mm
Vikt:229 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Computer Vision
Antal sidor:110
Förlag:Springer International Publishing AG
ISBN:9783031330568
Originaltitel:Impossibility Results for Distributed Computing

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Mer om författaren

Terrance E. Boult, Ph.D., is a Distinguished Professor and El Pomar Endowed Professor of Innovation and Security in the Department of Computer Science at the University of Colorado at Colorado Springs. He is also an IEEE Fellow and an internationally acknowledged researcher in machine learning, computer vision, biometrics, and cybersecurity with 15 patents issued and 400+ articles. Dr. Boult received the B.S. degree in Applied Mathematics, the M.S. degree in Computer Science, and the Ph.D. degree in Computer Science from Columbia University. He has won multiple teaching awards, research/innovation awards, best paper awards, best reviewer awards, and IEEE service awards. Walter Scheirer, Ph.D., is Dennis O. Doughty Collegiate Associate Professor in the Department of Computer Science and Engineering at the University of Notre Dame. Previously, he was a postdoctoral fellow at Harvard University with affiliations in the Schoolof Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and Center for Brain Science. Dr. Scheirer received his Ph.D. from the University of Colorado and his M.S. and B.A. degrees from Lehigh University. He has extensive experience in the areas of computer vision, machine learning, and image processing. His current research is focused on media forensics and studying disinformation circulating on social media.

Innehållsförteckning

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.