Matrix-similarity based loss function and feature selection for Alzheimer's disease diagnosis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2014, Pages 3089-3096

  Zhu, Xiaofeng ^a   Suk, Heung Il ^a   Shen, Dinggang ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; FORECASTING; NEURODEGENERATIVE DISEASES; NEUROIMAGING;

ALZHEIMER'S DISEASE; HIGH-LEVEL INFORMATION; LOSS FUNCTIONS; MILD COGNITIVE IMPAIRMENTS (MCI); RESPONSE MATRICES; STATE-OF-THE-ART METHODS; STATUS IDENTIFICATIONS; TARGET RESPONSE;

FEATURE EXTRACTION;

EID: 84911457687     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.395     Document Type: Conference Paper

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