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Collaborative Supervision of Machine Vision Systems: Breaking a Sequential Bottleneck in the Supervised Learning Process
Citation
Drew, S and Venema, S and Sheridan, P and Sun, C, Collaborative Supervision of Machine Vision Systems: Breaking a Sequential Bottleneck in the Supervised Learning Process, Advanced Parallel Processing Technologies, Springer-Verlag, X Zhou, S Jahnichen, M Xu, J Cao (ed), Berlin, Germany, pp. 619-628. ISBN 978-3-540-20054-3 (2003) [Research Book Chapter]
Copyright Statement
Copyright 2003 Springer-Verlag Berlin Heidelberg
Official URL: http://dx.doi.org/10.1007/978-3-540-39425-9_72
Abstract
This 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.
Item Details
| Item Type: | Research Book Chapter |
|---|---|
| Keywords: | Collaborative editing, computer vision, machine learning, supervised learning |
| Research Division: | Language, Communication and Culture |
| Research Group: | Communication and media studies |
| Research Field: | Communication technology and digital media studies |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the information and computing sciences |
| UTAS Author: | Drew, S (Dr Steve Drew) |
| ID Code: | 111940 |
| Year Published: | 2003 |
| Deposited By: | Curriculum and Academic Development |
| Deposited On: | 2016-10-17 |
| Last Modified: | 2016-11-03 |
| Downloads: | 0 |
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