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Collaborative Supervision of Machine Vision Systems: Breaking a Sequential Bottleneck in the Supervised Learning Process
chapter
posted on 2023-05-22, 17:16 authored by Steve DrewSteve Drew, Venema, S, Sheridan, P, Sun, CThis paper describes a computer vision system in the context of exploiting parallelism. The key contribution is a description of a network design that breaks a long-standing bottleneck in the supervision phase of the vision process. The proposed solution draws from and contributes to the disciplines of machine learning, computer vision and collaborative editing. The significance of the solution is that it provides the means by which complex visual tasks such as mammography can be learned by an artificial vision system.
History
Publication title
Advanced Parallel Processing TechnologiesVolume
2834Editors
X Zhou, S Jähnichen, M Xu, J CaoPagination
619-628ISBN
978-3-540-20054-3Department/School
DVC - EducationPublisher
Springer-VerlagPlace of publication
Berlin, GermanyExtent
75Rights statement
Copyright 2003 Springer-Verlag Berlin HeidelbergRepository Status
- Restricted