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Collaborative Supervised Learning Issues for Machine Vision: Parallelising People Power
conference contribution
posted on 2023-05-23, 11:31 authored by Sheridan, P, Steve DrewSteve Drew, Venema, S, 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
Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST '03Editors
H Arabnia, Y MunPagination
640-644ISBN
1892512475Department/School
DVC - EducationPublisher
CSREA PressPlace of publication
USAEvent title
International Conference on Imaging Science, Systems and Technology, CISST '03Event Venue
Las Vegas, USADate of Event (Start Date)
2003-06-23Date of Event (End Date)
2003-06-26Repository Status
- Restricted