Multiple kernel learning in the primal for multimodal alzheimer's disease classification

IEEE Journal of Biomedical and Health Informatics

Volumn 18, Issue 3, 2014, Pages 984-990

  Liu, Fayao ^a   Zhou, Luping ^b   Shen, Chunhua ^a   Yin, Jianping ^c  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b UNIVERSITY OF WOLLONGONG   (Australia)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Alzheimer's disease (AD); group Lasso; multimodal features; multiple kernel learning (MKL); random Fourier feature (RFF)

Indexed keywords

LEARNING SYSTEMS; NEURODEGENERATIVE DISEASES;

ALZHEIMER'S DISEASE; FOURIER FEATURES; GROUP LASSOS; MULTIMODAL FEATURES; MULTIPLE KERNEL LEARNING;

CLASSIFICATION (OF INFORMATION);

BIOLOGICAL MARKER;

ALGORITHM; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; CEREBROSPINAL FLUID; CLASSIFICATION; FACTUAL DATABASE; FOURIER ANALYSIS; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY;

ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MARKERS; BRAIN; DATABASES, FACTUAL; FOURIER ANALYSIS; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 84900841488     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2285378     Document Type: Article

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