Feature selection for fMRI-based deception detection

BMC Bioinformatics

Volumn 10, Issue SUPPL. 9, 2009, Pages

  Jin, Bo ^a   Strasburger, Alvin ^a   Laken, Steven J ^b   Kozel, F Andrew ^a,c   Johnson, Kevin A ^a   George, Mark S ^a   Lu, Xinghua ^a  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b Cephos Corp   (United States)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION ANALYSIS; BRAIN; BRAIN MAPPING; CHEMICAL ACTIVATION; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MAGNETIC LEVITATION VEHICLES; MAGNETIC RESONANCE IMAGING; NEUROPHYSIOLOGY; SIGNAL SYSTEMS; SUPPORT VECTOR MACHINES;

BIOLOGICAL HYPOTHESIS; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; DISCRIMINATIVE FEATURES; FEATURE SELECTION METHODS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; STATISTICAL PARAMETRIC MAPPING; SUPPORT VECTOR MACHINE CLASSIFIERS;

FUNCTIONAL NEUROIMAGING;

ACCURACY; BRAIN FUNCTION; BRAIN REGION; CLASSIFICATION ALGORITHM; CLUSTER ANALYSIS; CONFERENCE PAPER; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; IMAGE ENHANCEMENT; IMAGE PROCESSING; INTERMETHOD COMPARISON; NEUROPHYSIOLOGY; SIGNAL DETECTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; SUPPORT VECTOR MACHINE;

EID: 70349861745     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S9-S15     Document Type: Conference Paper

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