A general and unifying framework for feature construction, in image-based pattern classification

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

Volumn 5636 LNCS, Issue , 2009, Pages 423-434

  Batmanghelich, Nematollah ^a   Taskar, Ben ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS FUNCTIONS; DISCRIMINATION ABILITY; FEATURE CONSTRUCTION; GENERALIZATION ABILITY; HIGH-DIMENSIONAL; IMAGE-BASED; MACHINE-LEARNING; MEDICAL IMAGES; NONNEGATIVE MATRIX FACTORIZATION; NUMERICAL SOLUTION; OPTIMAL BASIS; OPTIMIZATION FRAMEWORK; PATTERN CLASSIFICATION; SPARSE DECOMPOSITION; SPATIAL SMOOTHNESS; SPECIFIC TASKS;

BLIND SOURCE SEPARATION; CONVERGENCE OF NUMERICAL METHODS; DATA PROCESSING; FACTORIZATION; MEDICAL IMAGING;

FEATURE EXTRACTION;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70349336340     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_35     Document Type: Conference Paper

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