Learning graph matching

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 6, 2009, Pages 1048-1058

  Caetano, Tibério S ^a,b   McAuley, Julian J ^a,b   Cheng, Li ^c   Le, Quoc V ^d   Smola, Alex J ^e  

^a CSIRO   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^d Stanford University   (United States)

^e YAHOO RESEARCH   (United States)

Author keywords

Graph matching; Learning; Optimization; Structured Estimation; Support Vector Machines

Indexed keywords

AS GRAPH; BEST MATCH; COMPATIBILITY FUNCTION; COMPUTATIONAL BIOLOGY; EFFICIENT ALGORITHM; FUNDAMENTAL PROBLEM; GRADUATED ASSIGNMENT; GRAPH MATCHING; GRAPH MATCHING PROBLEMS; GRAPH-MATCHING ALGORITHMS; LEARNING; LEARNING GRAPHS; LEARNING SCHEMES; LINEAR ASSIGNMENT; LINEAR TERMS; NORMALISATION; NP-HARD; OBJECTIVE FUNCTIONS; QUADRATIC ASSIGNMENT; QUADRATIC ASSIGNMENT PROBLEMS; RELAXATION ALGORITHM; STRUCTURED ESTIMATION; TRAINING EXAMPLE;

BIOINFORMATICS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; EDUCATION; IMAGE RETRIEVAL; PATTERN MATCHING; SUPPORT VECTOR MACHINES; TRAVELING SALESMAN PROBLEM;

LEARNING ALGORITHMS;

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

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

EID: 65649147615     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2009.28     Document Type: Article

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