Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis

Abstract

Feature selection has been commonly regarded as an effective method to lessen the problem of high dimension and low sample size in medical image analysis. In this paper, we propose a novel multimodality canonical feature selection method. Unlike the conventional sparse Multi-Task Learning (MTL) based feature selection method that mostly considered only the… (More)
DOI: 10.1007/978-3-319-10470-6_21

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