Distance metric learning as feature reduction technique for the Alzheimer's disease diagnosis

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

Volumn 6687 LNCS, Issue PART 2, 2011, Pages 68-76

  Chaves, R ^a   Ramirez J ^a   Gorriz J M ^a   Salas Gonzalez, D ^a   Lopez M ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's disease; Distance Metric Learning; feature reduction; SPECT Brain Imaging; Support Vector Machines

Indexed keywords

ALZHEIMER'S DISEASE; CLASSIFICATION METHODS; DISTANCE METRIC LEARNING; DISTANCE METRICS; EARLY DETECTION; FEATURE REDUCTION; LINEAR DISCRIMINANT ANALYSIS; MINIMUM SQUARED ERROR; NEAREST NEIGHBORS; NORMALIZED MEAN SQUARE ERROR; RECTANGULAR MATRIX; REGIONS OF INTEREST; SPECT BRAIN IMAGING; SPECT IMAGES; TEMPLATE-BASED;

COMPUTER AIDED INSTRUCTION; DISCRIMINANT ANALYSIS; GEARS; IMAGE RETRIEVAL; NEURODEGENERATIVE DISEASES; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

COMPUTER AIDED DIAGNOSIS;

EID: 79956316243     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21326-7_8     Document Type: Conference Paper

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