Multiple Kernel Learning in the Primal for Multimodal Alzheimer’s Disease Classification
Volume: 18, Issue: 3, Pages: 984 - 990
Published: May 1, 2014
Abstract
To achieve effective and efficient detection of Alzheimer's disease (AD), many machine learning methods have been introduced into this realm. However, the general case of limited training samples, as well as different feature representations typically makes this problem challenging. In this paper, we propose a novel multiple kernel-learning framework to combine multimodal features for AD classification, which is scalable and easy to implement....
Paper Details
Title
Multiple Kernel Learning in the Primal for Multimodal Alzheimer’s Disease Classification
Published Date
May 1, 2014
Volume
18
Issue
3
Pages
984 - 990
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