Non-parametric density modeling and outlier-detection in medical imaging datasets

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

Volumn 7588 LNCS, Issue , 2012, Pages 210-217

  Fritsch, Virgile ^a,b   Varoquaux, Gaël ^a,b,c   Poline, Jean Baptiste ^a,b   Thirion, Bertrand ^a,b  

^a INRIA SACLAY   (France)

^b DIF   (France)

^c INSERM   (France)

Author keywords

fMRI; Local Component Analysis; neuroimaging; non parametric density estimation; One Class SVM; Outlier detection; Parzen

Indexed keywords

COMPONENT ANALYSIS; FMRI; NONPARAMETRIC DENSITY ESTIMATION; ONE CLASS-SVM; OUTLIER DETECTION; PARZEN;

LEARNING SYSTEMS; MEDICAL IMAGING; NEUROIMAGING;

STATISTICS;

EID: 84870006048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35428-1_26     Document Type: Conference Paper

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