Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition

In this paper, we propose a novel hybrid discriminative learning approach based on shifted-scaled Dirichlet mixture model (SSDMM) and Support Vector Machines (SVMs) to address some challenging problems of medical data categorization and recognition. The main goal is to capture accurately the intrins...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Fahd Alharithi, Ahmed Almulihi, Sami Bourouis, Roobaea Alroobaea, Nizar Bouguila
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2021-04-01
Цуврал:	Sensors
Нөхцлүүд:	shifted-scaled Dirichlet distribution mixture model SVM kernels data categorization and recognition medical image analysis
Онлайн хандалт:	https://www.mdpi.com/1424-8220/21/7/2450
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!