Referenced Items are not available for this document.
The pyramid architecture classification tree (PACT) is a novel pattern recognition algorithm which has good capabilities. PACT is a kind of decision tree classifier, though the algorithm is motivated from quite different backgrounds from conventional pattern recognition algorithms. Moreover, PACT motivates us to propose a new hypothesis “a decision region in the feature space having fractal characteristics”. A theoretical model of PACT, a random cantor set problem, is proposed, and using the problem we argue that the hypothesis requires “iterative feature extraction”, which is the key point of PACT and what the conventional pattern recognition algorithms lack. A binary PACT is proposed for an implicit evidence of the hypothesis
Published in:
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
(Volume:4
)
Date of Conference: 25-29 Aug 1996
- Page(s):
- 606 - 610 vol.4
- Meeting Date :
- 25 Aug 1996-29 Aug 1996
- ISSN :
- 1051-4651
- Print ISBN:
- 0-8186-7282-X
- INSPEC Accession Number:
- 5456699
- Conference Location :
- Vienna
- Digital Object Identifier :
- 10.1109/ICPR.1996.547636
- 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.
