Mean shift is a bound optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 3, 2005, Pages 471-474

  Fashing, Mark ^a   Tomasi, Carlo ^a  

^a Duke University   (United States)

Author keywords

Adaptive gradient descent; Bound optimization; Mean shift; Mode seeking; Newton's method

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; ITERATIVE METHODS; OPTIMIZATION; VECTORS;

ADAPTIVE GRADIENT DESCENT; BOUND OPTIMIZATION; MEAN SHIFT; MODE SEEKING; NEWTON METHOD;

COMPUTER VISION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; MATHEMATICAL COMPUTING; METHODOLOGY; SAMPLE SIZE; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER GRAPHICS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; SAMPLE SIZE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 15044364880     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.59     Document Type: Article

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