eCite Digital Repository

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
Author:Drew, S (Dr Steve Drew)
ID Code:111940
Year Published:2003
Deposited By:Tasmanian Institute of Learning & Teaching
Deposited On:2016-10-17
Last Modified:2016-11-03
Downloads:0

Repository Staff Only: item control page