Optimal combinations of pattern classifiers
Identifieur interne : 002947 ( Main/Exploration ); précédent : 002946; suivant : 002948Optimal combinations of pattern classifiers
Auteurs : Louisa Lam [Canada] ; Ching Y. Suen [Canada]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 1994.
Abstract
To improve recognition results, decisions of multiple classifiers can be combined. We study the performance of combination methods that are variations of the majority vote. A Bayesian formulation and a weighted majority vote (with weights obtained through a genetic algorithm) are implemented, and the combined performances of 7 classifiers on a large set of handwritten numerals are analyzed.
Url:
DOI: 10.1016/0167-8655(95)00050-Q
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002097
- to stream Istex, to step Curation: 001F57
- to stream Istex, to step Checkpoint: 001D04
- to stream Main, to step Merge: 002B04
- to stream Main, to step Curation: 002947
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title>Optimal combinations of pattern classifiers</title>
<author><name sortKey="Lam, Louisa" sort="Lam, Louisa" uniqKey="Lam L" first="Louisa" last="Lam">Louisa Lam</name>
</author>
<author><name sortKey="Suen, Ching Y" sort="Suen, Ching Y" uniqKey="Suen C" first="Ching Y." last="Suen">Ching Y. Suen</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:555D14AE16653077CDD9B5ECE2AB8CA350EAD069</idno>
<date when="1995" year="1995">1995</date>
<idno type="doi">10.1016/0167-8655(95)00050-Q</idno>
<idno type="url">https://api.istex.fr/document/555D14AE16653077CDD9B5ECE2AB8CA350EAD069/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002097</idno>
<idno type="wicri:Area/Istex/Curation">001F57</idno>
<idno type="wicri:Area/Istex/Checkpoint">001D04</idno>
<idno type="wicri:doubleKey">0167-8655:1995:Lam L:optimal:combinations:of</idno>
<idno type="wicri:Area/Main/Merge">002B04</idno>
<idno type="wicri:Area/Main/Curation">002947</idno>
<idno type="wicri:Area/Main/Exploration">002947</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a">Optimal combinations of pattern classifiers</title>
<author><name sortKey="Lam, Louisa" sort="Lam, Louisa" uniqKey="Lam L" first="Louisa" last="Lam">Louisa Lam</name>
<affiliation wicri:level="1"><country xml:lang="fr">Canada</country>
<wicri:regionArea>Centre for Pattern Recognition and Machine Intelligence, Concordia University, Suite GM-606, 1455 de Maisonneuve Boulevard West, Montreal, Quebec H3G 1M8</wicri:regionArea>
<wicri:noRegion>Quebec H3G 1M8</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Canada</country>
</affiliation>
</author>
<author><name sortKey="Suen, Ching Y" sort="Suen, Ching Y" uniqKey="Suen C" first="Ching Y." last="Suen">Ching Y. Suen</name>
<affiliation wicri:level="1"><country xml:lang="fr">Canada</country>
<wicri:regionArea>Centre for Pattern Recognition and Machine Intelligence, Concordia University, Suite GM-606, 1455 de Maisonneuve Boulevard West, Montreal, Quebec H3G 1M8</wicri:regionArea>
<wicri:noRegion>Quebec H3G 1M8</wicri:noRegion>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j">Pattern Recognition Letters</title>
<title level="j" type="abbrev">PATREC</title>
<idno type="ISSN">0167-8655</idno>
<imprint><publisher>ELSEVIER</publisher>
<date type="published" when="1994">1994</date>
<biblScope unit="volume">16</biblScope>
<biblScope unit="issue">9</biblScope>
<biblScope unit="page" from="945">945</biblScope>
<biblScope unit="page" to="954">954</biblScope>
</imprint>
<idno type="ISSN">0167-8655</idno>
</series>
<idno type="istex">555D14AE16653077CDD9B5ECE2AB8CA350EAD069</idno>
<idno type="DOI">10.1016/0167-8655(95)00050-Q</idno>
<idno type="PII">0167-8655(95)00050-Q</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0167-8655</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">To improve recognition results, decisions of multiple classifiers can be combined. We study the performance of combination methods that are variations of the majority vote. A Bayesian formulation and a weighted majority vote (with weights obtained through a genetic algorithm) are implemented, and the combined performances of 7 classifiers on a large set of handwritten numerals are analyzed.</div>
</front>
</TEI>
<affiliations><list><country><li>Canada</li>
</country>
</list>
<tree><country name="Canada"><noRegion><name sortKey="Lam, Louisa" sort="Lam, Louisa" uniqKey="Lam L" first="Louisa" last="Lam">Louisa Lam</name>
</noRegion>
<name sortKey="Lam, Louisa" sort="Lam, Louisa" uniqKey="Lam L" first="Louisa" last="Lam">Louisa Lam</name>
<name sortKey="Suen, Ching Y" sort="Suen, Ching Y" uniqKey="Suen C" first="Ching Y." last="Suen">Ching Y. Suen</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002947 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 002947 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:555D14AE16653077CDD9B5ECE2AB8CA350EAD069 |texte= Optimal combinations of pattern classifiers }}
![]() | This area was generated with Dilib version V0.6.32. | ![]() |