Rede neural não supervisionada baseada em transformada Karhunen-Loève para processamento, compressão e reconhecimento de imagens
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
27/05/2014
27/05/2014
01/02/1997
|
Resumo |
The merit of the Karhunen-Loève transform is well known. Since its basis is the eigenvector set of the covariance matrix, a statistical, not functional, representation of the variance in pattern ensembles is generated. By using the Karhunen-Loève transform coefficients as a natural feature representation of a character image, the eigenvector set can be regarded as an feature extractor for a classifier. |
Formato |
211-216 |
Identificador |
http://adsabs.harvard.edu/full/1997ESASP.407..211M European Space Agency, (Special Publication) ESA SP, n. 407, p. 211-216, 1997. 0379-6566 http://hdl.handle.net/11449/65028 2-s2.0-5744238060 |
Idioma(s) |
por |
Relação |
European Space Agency, (Special Publication) ESA SP |
Direitos |
openAccess |
Palavras-Chave | #Karhunen-Loève Transform #Neural Networks #Pattern Recognition |
Tipo |
info:eu-repo/semantics/article |