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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GLwp5
Repositorysid.inpe.br/banon/2005/07.15.17.25
Last Update2005:07.15.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.15.17.25.43
Metadata Last Update2022:05.18.22.23.30 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.7
Citation KeyVaqueroBarrHira:2005:MaApMu
TitleA maximum-likelihood approach for multiresolution W-operator design
FormatOn-line
Year2005
Access Date2022, May 21
Number of Files1
Size152 KiB
2. Context
Author1 Vaquero, Daniel André
2 Barrera, Junior
3 Hirata Jr., Roberto
Affiliation1 Universidade de São Paulo
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addressdaniel@vision.ime.usp.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:11:01 :: danielv -> banon ::
2008-08-26 15:17:03 :: banon -> administrator ::
2009-08-13 20:37:54 :: administrator -> banon ::
2010-08-28 20:01:19 :: banon -> administrator ::
2022-05-18 22:23:30 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsdesign of image operators
mathematical morphology
multiresolution
entropy
handwritten digits recognition
AbstractThe design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examples necessary to obtain a good estimate of the joint distribution. From the computational standpoint, as the number of examples grows memory and time requirements can reach a point where it is not feasible to design the operator. This paper introduces a technique for joint distribution estimation in W-operator design. The distribution is represented by a multiresolution pyramidal structure and the mean conditional entropy is proposed as a criterion to choose between distributions induced by different pyramids. Experimental results are presented for maximum-likelihood classifiers designed for the problem of handwritten digits classification. The analysis shows that the technique is interesting from the theoretical point of view and has potential to be applied in computer vision and image processing problems.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GLwp5
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GLwp5
Languageen
Target Filevaquerod_multiresolution.pdf
User Groupdanielv
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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