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2004

An Evaluation of Algorithms for Single-Echo Biosonar Target Classification

9 years 8 months ago
An Evaluation of Algorithms for Single-Echo Biosonar Target Classification
A recent neuro-spiking coding scheme for feature extraction from biosonar echoes of various plants is examined with a variety of stochastic classifiers. Feature vectors derived are employed in well-known stochastic classifiers, including nearest-neighborhood, single Gaussian and a Gaussian mixture with EM optimization. Classifiers' performances are evaluated by using cross-validation and bootstrapping techniques. It is shown that the various classifers perform equivalently and that the modified preprocessing configuration yields considerably improved results. Keywords-- Classification, neuro-spike coding, non-parametric model, parametric model, Gaussian mixture, EM algorithm.
Turgay Temel, John Hallam
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where IJIT
Authors Turgay Temel, John Hallam
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