Robust autonomous model learning from 2D and 3D data sets

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 968-976

  Langs, Georg ^a,b   Donner, René ^b,d   Peloschek, Philipp ^c   Bischof, Horst ^b  

^a Ecole Centrale de Paris   (France)

^b GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^c MEDICAL UNIVERSITY OF VIENNA   (Austria)

^d VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; LEARNING SYSTEMS; THREE DIMENSIONAL; TOPOLOGY; TWO DIMENSIONAL;

MINIMUM DESCRIPTION LENGTH; ROBUST AUTONOMOUS MODEL;

ROBUST CONTROL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FACTUAL DATABASE; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATABASES, FACTUAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883839523     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_117     Document Type: Conference Paper

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