On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling - Paperback - 2014
Addisson Salazar
Estado :
Novo
Vendido por
País de expedição : Reino Unido
Resumo
This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM).
Year of publication: 2014
Pagination: 186 pages, biography
Format: Paperback
Serie: Springer Theses
Year of publication: 2014
Pagination: 186 pages, biography
Format: Paperback
Serie: Springer Theses
On Statistical Pattern Recognition in Independent Component...
Resumo
This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM).
Year of publication: 2014
Pagination: 186 pages, biography
Format: Paperback
Serie: Springer Theses
Year of publication: 2014
Pagination: 186 pages, biography
Format: Paperback
Serie: Springer Theses
Publicidade
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Características
- Editora
-
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Dimensão
-
235 x 155 x 11
- Peso
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326
- Tema
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Cybernetics & systems theory|Imaging systems & technology
- Origem
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Germany
- EAN
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9783642428753
Publicidade
Publicidade