Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis

• Published in: Pattern recognition Vol. 88; pp. 370 - 382
• Main Authors: Peng, Jialin, Zhu, Xiaofeng, Wang, Ye, An, Le, Shen, Dinggang
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.04.2019
• Subjects: Alzheimer’s disease diagnosis; Feature selection; Multimodal features; Multiple kernel learning; Structured sparsity; Multiple kernel learning; Structured sparsity; Feature selection; Alzheimer’s disease diagnosis; Multimodal features

•For Alzheimer’s disease (AD) diagnosis, we consider the integration of multi-modality imaging and genetic data which encode different level of knowledge.•With a focus on taking advantage of both phenotype and genotype information, a novel structured sparsity, defined by ℓ1, p -norm (p > 1), regu...