EM in high-dimensional spaces

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 35, Issue 3, 2005, Pages 571-577

  Draper, Bruce A ^a   Elliott, Daniel L ^a   Hayes, Jeremy ^a   Baek, Kyungim ^b  

^a Department of Computer Science   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Expectation Maximization; Image classification; Maximum likelihood estimation; Principal component analysis; Unsupervised learning

Indexed keywords

ALGORITHMS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMIZATION; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY;

EXPECTATION MAXIMIZATION; IMAGE CLASSIFICATION; UNSUPERVISED LEARNING;

IMAGE PROCESSING;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 20444406391     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2005.846670     Document Type: Article

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