Sparse approximation of currents for statistics on curves and surfaces

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

Volumn 5242 LNCS, Issue PART 2, 2008, Pages 390-398

  Durrleman, Stanley ^a,b   Pennec, Xavier ^a   Trouvé, Alain ^b   Ayache, Nicholas ^a  

^a INRIA   (France)

^b Inserm   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; MEDICAL IMAGING; NUMERICAL METHODS; STATISTICS;

FEATURE BASED APPROACHES; GEOMETRICAL PRIMITIVES; POINT CORRESPONDENCE; REDUNDANT REPRESENTATION; SPARSE APPROXIMATIONS; SPARSE DECOMPOSITION; SPARSE REPRESENTATION; STATE-OF-THE-ART METHODS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883838948     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85990-1_47     Document Type: Conference Paper

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