Signal-to-noise ratios for measuring saliency of features extracted by eigenvector methods from ophthalmic arterial Doppler signals

Expert Systems

Volumn 25, Issue 5, 2008, Pages 431-443

  Übeyli, Elif Derya ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Eigenvector methods; Feature saliency; Ophthalmic arterial Doppler signal classification; Signal to noise ratio

Indexed keywords

ACOUSTIC INTENSITY; EIGENVALUES AND EIGENFUNCTIONS; NETWORK PROTOCOLS; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; SENSOR NETWORKS; SIGNAL TO NOISE RATIO;

ACCURATE; CLASSIFICATION ACCURACIES; CLASSIFICATION MODELS; DIMENSIONAL REPRESENTATIONS; DOPPLER SIGNALS; EIGENVECTOR METHODS; FEATURE SALIENCY; FEATURE VECTORS; INPUT FEATURES; MEASURING; MEDICAL DIAGNOSTICS; OPHTHALMIC ARTERIAL DOPPLER SIGNAL CLASSIFICATION; SALIENCY MEASURES; SALIENT FEATURES; SCREENING METHODS; SIGNAL-TO-NOISE RATIOS;

FEATURE EXTRACTION;

EID: 54849438419     PISSN: 02664720     EISSN: 14680394     Source Type: Journal    
DOI: 10.1111/j.1468-0394.2008.00450.x     Document Type: Article

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