Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification

This paper aims to propose a robust hybrid probabilistic learning approach that combines appropriately the advantages of both the generative and discriminative models for the challenging problem of diabetic retinopathy classification in retinal images. We build new probabilistic kernels based on inf...

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Autori principali:	Sami Bourouis, Atef Zaguia, Nizar Bouguila, Roobaea Alroobaea
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2019-01-01
Serie:	IEEE Access
Soggetti:	Retinal images scaled Dirichlet mixture SVM generative-discriminative learning MDL probabilistic kernels
Accesso online:	https://ieeexplore.ieee.org/document/8572693/
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