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Kernel Optimization in Discriminant Analysis

Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separable problem to a space of intrinsically larger dimensionality where the classes are linearly separable. A major problem in t...

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Bibliografiske detaljer
Main Authors: You, Di, Hamsici, Onur C., Martinez, Aleix M.
Format: Artigo
Sprog:Inglês
Udgivet: 2011
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3149884/
https://ncbi.nlm.nih.gov/pubmed/20820072
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2010.173
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