"ASMFS: Adaptive-similarity-based multi-modality feature selection for " by Yuang Shi, Chen Zu et al.
Multimodal classification methods using different modalities have great advantages over traditional single-modality-based ones for the diagnosis of Alzheimer's disease (AD) and its prodromal stage mild cognitive impairment (MCI). With the increasing amount of high-dimensional heterogeneous data to be processed, multi-modality feature selection has become a crucial research direction for AD classification. However, traditional methods usually depict the data structure using pre-defined simil...
Alzheimer Disease Neuroimaging Initiative Disease Neuroimaging Initiative Alzheimers Disease Feature Selection Ulti Modality Similarity Learning
Source: uow.edu.au