This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

A reduced algorithm from Faugeras-Bethods theorem in labeling problems

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Crescenzio Gallo ()
Giancarlo De Stasio

Additional information is available for the following registered author(s):

Abstract

This paper illustrates a new approach to labeling ("object classification") problems, and it targets the simplification of a (computationally) complex algorithm based on Faugeras and Berthod's theorem.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.dsems.unifg.it/prolab_GALLO.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia in its series Quaderni DSEMS with number 04-2005.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Jan 2005
Date of revision:
Handle: RePEc:ufg:qdsems:04-2005

Contact details of provider:
Postal: Largo Papa Giovanni Paolo II, 1 -71100- Foggia (I)
Phone: +390881753730
Fax: +390881775616
Web page: http://www.dsems.unifg.it
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Luca Grilli).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? You may want to explore EconPapers, which displays the same data as IDEAS in a different way.

This page was last updated on 2009-11-12.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.