Ensemble Classification of the VF Dataset with Limited Merging

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Zhihong Yang Articles by Ian R. Greenshields

14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01)

Bethesda, Maryland

March 26-March 27

ISBN: 0-7695-1004-3

	ASCII Text	x
	Zhihong Yang, Ian R. Greenshields, "Ensemble Classification of the VF Dataset with Limited Merging," Computer-Based Medical Systems, IEEE Symposium on, pp. 0117, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001.

	BibTex	x
	@article{ 10.1109/CBMS.2001.941707, author = {Zhihong Yang and Ian R. Greenshields}, title = {Ensemble Classification of the VF Dataset with Limited Merging}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2001}, isbn = {0-7695-1004-3}, pages = {0117}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941707}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Ensemble Classification of the VF Dataset with Limited Merging SN - 0-7695-1004-3 SP EP A1 - Zhihong Yang, A1 - Ian R. Greenshields, PY - 2001 KW - Gibbs classification KW - finite-time annealing KW - Visible Human Dataset. VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

Zhihong Yang, University of Connecticut

Ian R. Greenshields, University of Connecticut

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941707

Abstract: Ensemble classification (the concurrent development of K independent classifications) is a common practice in Gibbs classification. Here we describe a adaptation of Azencott's theorem on finite-time annealing, coupled with a limited merging protocol, which produces a final low-energy Gibbs classification of the VF dataset.

Index Terms:

Gibbs classification, finite-time annealing, Visible Human Dataset.

Citation:

Zhihong Yang, Ian R. Greenshields, "Ensemble Classification of the VF Dataset with Limited Merging," cbms, pp.0117, 14th IEEE Symposium on Computer-Based Medical Systems (CMBS'01), 2001

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.