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" BIRD CALL RECOGNITION WITH ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES, AND KERNEL DENSITY ESTIMATION.ET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 154898
Doc. No : ET26690
Main Entry : Derek J. Ross
Title Proper : BIRD CALL RECOGNITION WITH ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES, AND KERNEL DENSITY ESTIMATION.ET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This thesis evaluates artificial neural networks (ANNs), support vector machines (SVMs), andkernel density estimation of probability (KDE) on the task of classifying ten species of birds fromaudio recordings of their calls..
Subject : Electericl tess
: برق
electronic file name : TL50964.pdf
Title and statement of responsibility and : BIRD CALL RECOGNITION WITH ARTIFICIAL NEURAL NETWORKS, SUPPORT VECTOR MACHINES, AND KERNEL DENSITY ESTIMATION.ET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL50964.pdf
TL50964.pdf
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