Bayes Classifier and Loss Functions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F11%3A50784" target="_blank" >RIV/60460709:41110/11:50784 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Bayes Classifier and Loss Functions
Original language description
This paper deals with the classification of objects into the limited number of classes. The objects are characterized by n-features. The paper focuses on the Bayes classifier based on the probability principle with the fixed number of the features duringthe classification process. The Bayes classifier which uses criterion of the minimum error was applied on the set of the multispectral data. They represent real images of the Earth surface obtained from remote Earth sensing. The paper describes experience and results obtained during the classification of extensive set of these multispectral data with the Bayes classifier using the symmetric and diagonal loss function. 2011 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2011
ISBN
9781424474301
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
39-42
Publisher name
IEEE
Place of publication
TU Košice
Event location
Smolenice
Event date
Jan 27, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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