Towards Automatic Feature Vector Optimization for Multimedia Applications
Lade...
Dateien
Datum
2008
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
EU-Projektnummer
DFG-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
unikn.publication.listelement.citation.prefix.version.undefined
Proceedings of the 2008 ACM symposium on Applied computing - SAC '08. New York, New York, USA: ACM Press, 2008, pp. 1197-1201. ISBN 978-1-59593-753-7. Available under: doi: 10.1145/1363686.1363964
Zusammenfassung
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of experiments using real and synthetic benchmark data is conducted, the results of which indicate the suitability of the method for unsupervised feature selection and optimization. We present an approach for generating synthetic feature spaces of varying discrimination power, modeling main characteristics from real world feature vector extractors. A simple, yet powerful visualization is used to communicate the results of the automatic analysis to the user.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Feature vectors, discrimination power, feature selection, Self-organizing map
Konferenz
The 4th ACM symposium on Software visuallization - SoftVis '08, 16. März 2008 - 20. März 2008, Fortaleza, Ceara, Brazil
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
SCHRECK, Tobias, Dieter W. FELLNER, Daniel A. KEIM, 2008. Towards Automatic Feature Vector Optimization for Multimedia Applications. The 4th ACM symposium on Software visuallization - SoftVis '08. Fortaleza, Ceara, Brazil, 16. März 2008 - 20. März 2008. In: Proceedings of the 2008 ACM symposium on Applied computing - SAC '08. New York, New York, USA: ACM Press, 2008, pp. 1197-1201. ISBN 978-1-59593-753-7. Available under: doi: 10.1145/1363686.1363964BibTex
@inproceedings{Schreck2008Towar-5625, year={2008}, doi={10.1145/1363686.1363964}, title={Towards Automatic Feature Vector Optimization for Multimedia Applications}, isbn={978-1-59593-753-7}, publisher={ACM Press}, address={New York, New York, USA}, booktitle={Proceedings of the 2008 ACM symposium on Applied computing - SAC '08}, pages={1197--1201}, author={Schreck, Tobias and Fellner, Dieter W. and Keim, Daniel A.} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/5625"> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5625/1/Towards_Automatic_Feature_Vector_Optimization_for_Multimedia_Applications.pdf"/> <dc:format>application/pdf</dc:format> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:57:18Z</dc:date> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:issued>2008</dcterms:issued> <dcterms:bibliographicCitation>First publ. as paper in: Proceedings of the 23rd Annual ACM Symposium on Applied Computing 2008: Fortaleza, Ceará, Brazil, March 16 - 29, 2008, pp. 1197-1201</dcterms:bibliographicCitation> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:57:18Z</dcterms:available> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5625"/> <dc:creator>Fellner, Dieter W.</dc:creator> <dc:contributor>Fellner, Dieter W.</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5625/1/Towards_Automatic_Feature_Vector_Optimization_for_Multimedia_Applications.pdf"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Schreck, Tobias</dc:creator> <dcterms:abstract xml:lang="eng">We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of experiments using real and synthetic benchmark data is conducted, the results of which indicate the suitability of the method for unsupervised feature selection and optimization. We present an approach for generating synthetic feature spaces of varying discrimination power, modeling main characteristics from real world feature vector extractors. A simple, yet powerful visualization is used to communicate the results of the automatic analysis to the user.</dcterms:abstract> <dcterms:title>Towards Automatic Feature Vector Optimization for Multimedia Applications</dcterms:title> <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:language>eng</dc:language> <dc:contributor>Schreck, Tobias</dc:contributor> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja