A family of principal component analyses for dealing with outliers

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 178-185

  Iglesias, J Eugenio ^a   De Bruijne, Marleen ^a,b   Loog, Marco ^a,b   Lauze, François ^b   Nielsen, Mads ^a,b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b NORDIC BIOSCIENCE A S   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; ROBUST CONTROL;

PLAUSIBLE DATA; VERTEBRA SHAPE MODEL; X-RAY IMAGES;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; HUMAN; IMAGE QUALITY; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINE FRACTURE; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL FRACTURES; TOMOGRAPHY, X-RAY COMPUTED;

EID: 38349107132     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_22     Document Type: Conference Paper

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