Generalized L2-divergence and its application to shape alignment

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

Volumn 5636 LNCS, Issue , 2009, Pages 227-238

  Wang, Fei ^a   Vemuri, Baba ^b   Syeda Mahmood, Tanveer ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY NUMBER; CLOSED-FORM EXPRESSION; COMPUTATIONALLY EFFICIENT; DIVERGENCE MEASURES; GAUSSIAN MIXTURES; L2 DISTANCES; MIXTURE OF GAUSSIANS; POINT SET; REGISTRATION ALGORITHMS; REGISTRATION PROBLEMS; STATISTICAL ROBUSTNESS;

ALGORITHMS; DATA PROCESSING; IMAGE SEGMENTATION; MEDICAL IMAGING; MIXTURES; PROBABILITY DENSITY FUNCTION; SET THEORY;

PROBABILITY DISTRIBUTIONS;

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

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

EID: 70349317184     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_19     Document Type: Conference Paper

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