Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 557-562

  Wang, Hua ^a   Nie, Feiping ^a   Huang, Heng ^a   Risacher, Shannon ^b   Ding, Chris ^a   Saykin, Andrew J ^b   Shen, Li ^b  

^a The University of Texas at Arlington   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; BRAIN IMAGING; CLINICAL DATA; COGNITIVE FUNCTIONS; COMPACT SETS; EMPIRICAL TEST; IMAGING DATA; INTERCONNECTED STRUCTURES; MEMORY PERFORMANCE; MULTITASK LEARNING; NEURODEGENERATIVE DISORDERS; PREDICTION PERFORMANCE; PREDICTIVE CAPABILITIES; SPARSE REPRESENTATION;

FORECASTING; IMAGE PROCESSING; NEUROIMAGING;

REGRESSION ANALYSIS;

EID: 84863059819     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126288     Document Type: Conference Paper

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