Information analysis of multiple classifier fusion.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F01%3A16010068" target="_blank" >RIV/67985556:_____/01:16010068 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/01:00000047
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Information analysis of multiple classifier fusion.
Original language description
We consider a general scheme of parallel classifier combinations in the framework of statistical pattern recognition. Each statistical classifier defines a set of output variables in terms of a posteriori probabilities, i.e. it is used as a feature extractor. The output vectors of classifiers are combined in parallel. The statistical Shannon information is used as a criterion to compare different combining schemes. By means of relatively simple arguments we derive a hierarchy between different methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Multiple Classifier Systems.
ISBN
3-540-42284-6
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
168-177
Publisher name
Springer
Place of publication
Berlin
Event location
Cambridge [GB]
Event date
Jul 2, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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