Estimation of high-density regions using one-class neighbor machines

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 3, 2006, Pages 476-480

  Muñoz, Alberto ^a   Moguerza, Javier M ^b  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^b UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

Density estimation; Kernel methods; One Class Support Vector Machines

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; DATA REDUCTION; ESTIMATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING;

DENSITY ESTIMATION; KERNEL METHODS; ONE-CLASS NEIGHBOR MACHINE (OCNM); ONE-CLASS SUPPORT VECTOR MACHINE (OCSVM);

LEARNING SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 31544483334     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.52     Document Type: Article

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