Referenced Items are not available for this document.
This paper presents a method for designing classifier to automate an evaluation process of protein crystallization growth states. The classifier is designed by binary decision tree and its classification sequence is decided in descending order of classification accuracy. Furthermore, for applying to automated crystallization system, some functions reducing mis-classification are appended to the classifier. The performance of this method has been evaluated by comparing classification result by using proposed method with the result by manual classification
Published in:
Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on
Date of Conference: 15-19 May 2006
- Page(s):
- 1800 - 1805
- ISSN :
- 1050-4729
- Print ISBN:
- 0-7803-9505-0
- INSPEC Accession Number:
- 9120197
- Conference Location :
- Orlando, FL
- Digital Object Identifier :
- 10.1109/ROBOT.2006.1641967
- Product Type:
- Conference Publications
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
