Insights from Classifying Visual Concepts with Multiple Kernel Learning

Combining information from various image features has become a standard technique in concept recognition tasks. However, the optimal way of fusing the resulting kernel functions is usually unknown in practical applications. Multiple kernel learning (MKL) techniques allow to determine an optimal line...

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Detalles Bibliográficos
Autores principales: Binder, Alexander, Nakajima, Shinichi, Kloft, Marius, Müller, Christina, Samek, Wojciech, Brefeld, Ulf, Müller, Klaus-Robert, Kawanabe, Motoaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427351/
https://www.ncbi.nlm.nih.gov/pubmed/22936970
http://dx.doi.org/10.1371/journal.pone.0038897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3427351/
https://www.ncbi.nlm.nih.gov/pubmed/22936970
http://dx.doi.org/10.1371/journal.pone.0038897

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