A pairwise subspace projection method for multi-class linear dimension reduction

Linear feature extraction is commonly applied in an all-at-once way, meaning that a single trasformation is used for all the data regardless of the classes. Very good results can be achieved with this approach when the classification problem involves just a few classes. Nevertheless, when the number...

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Detalles Bibliográficos
Autor principal: Tomassi, Diego
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Pairwise subspace projection method
Multi-class linear dimension reduction
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/123721
https://41jaiio.sadio.org.ar/sites/default/files/5_ASAI_2012.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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