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» An Improved Preprocessing for Biosonar Target Classification
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IJIT
2004
13 years 6 months ago
An Improved Preprocessing for Biosonar Target Classification
An improved processing description to be employed in biosonar signal processing in a cochlea model is proposed and examined. It is compared to conventional models using a modified ...
Turgay Temel, John Hallam
IJIT
2004
13 years 6 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...
Turgay Temel, John Hallam
IJIT
2004
13 years 6 months ago
Evaluation of Algorithms for Sequential Decision in Biosonar Target Classification
A sequential decision problem, based on the task of identifying the species of trees given acoustic echo data collected from them, is considered with well-known stochastic classifi...
Turgay Temel, John Hallam
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 5 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
KES
2006
Springer
13 years 4 months ago
Spiking Neural Network Based Classification of Task-Evoked EEG Signals
This paper presents an improved technique to detect evoked potentials in continuous EEG recordings using a spiking neural network. Human EEG signals recorded during spell checking,...
Piyush Goel, Honghai Liu, David J. Brown, Avijit D...