Closed-form Jensen-Renyi divergence for mixture of Gaussians and applications to group-wise shape registration

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 648-655

  Wang, Fei ^a   Syeda Mahmood, Tanveer ^a   Vemuri, Baba C ^b   Beymer, David ^a   Rangarajan, Anand ^b  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARDINALITIES; CLOSED FORM; COMPUTATIONALLY EFFICIENT; DIVERGENCE MEASURES; MIXTURE MODEL; MIXTURE OF GAUSSIANS; NONRIGID REGISTRATION; NUMBER OF COMPONENTS; NUMERICAL OPTIMIZATIONS; POINT SET; PROBABILISTIC REPRESENTATION; SHAPE REGISTRATION; SYNTHETIC DATA;

IMAGE SEGMENTATION; INDUCTIVELY COUPLED PLASMA; INFORMATION THEORY; MEDICAL COMPUTING; MIXTURES; THREE DIMENSIONAL;

PROBABILITY DISTRIBUTIONS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NORMAL DISTRIBUTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL ECHOCARDIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883836025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_80     Document Type: Conference Paper

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