Identification of Alzheimer's disease using incomplete multimodal dataset via matrix shrinkage and completion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8184 LNCS, Issue , 2013, Pages 163-170

  Thung, Kim Han ^a   Wee, Chong Yaw ^a   Yap, Pew Thian ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

ADNI; Alzheimer's disease; classification; incomplete data; Matrix completion

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FORECASTING; LEARNING SYSTEMS; NEURODEGENERATIVE DISEASES; NEUROIMAGING;

ADNI; ALZHEIMER'S DISEASE; DISCRIMINATIVE FEATURES; IDENTIFICATION ACCURACY; IDENTIFICATION METHOD; INCOMPLETE DATA; LOW-RANK MATRIX COMPLETIONS; MATRIX COMPLETION;

MATRIX ALGEBRA;

EID: 84886743004     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-02267-3_21     Document Type: Conference Paper

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