Feature extraction for improving the support vector machine biomedical data classifier performance

5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008

Volumn , Issue , 2008, Pages 362-365

  Kostka, Pawel S ^b   Tkacz, Ewaryst J ^a,b  

^a IEEE

^b SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATIONS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; DISEASE CONTROL; FEEDFORWARD NEURAL NETWORKS; IMAGE RETRIEVAL; INFORMATION TECHNOLOGY; LEARNING SYSTEMS; PATTERN RECOGNITION; RADIAL BASIS FUNCTION NETWORKS; SET THEORY; SUPPORT VECTOR MACHINES; TECHNOLOGY; VECTORS; WAVELET TRANSFORMS;

ATRIAL FIBRILLATION; BASIC FUNCTIONS; BIOMEDICAL DATA; CLASSIFIER PERFORMANCE; CONTROL GROUP; DATA BASE; ECG SIGNALS; ENTROPY MEASURES; FAST WAVELET TRANSFORM; FEATURE EXTRACTION (FE); FEATURE VECTOR; FREQUENCY DOMAINS; INTERNATIONAL CONFERENCES; INTERNATIONAL SYMPOSIUM; KERNEL FUNCTIONS; RADIAL-BASIS FUNCTIONS; STATISTICAL LEARNING THEORY; SUMMER SCHOOLS; SUPPORT-VECTOR MACHINE; SVM CLASSIFIERS; SYSTEM STRUCTURES;

FEATURE EXTRACTION;

EID: 51849118392     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2008.4570638     Document Type: Conference Paper

References (10)

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