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A novel feature extracting approach was designed for classification using the average amino acid pairing encoding matrix (APEM).
For the purpose of evaluating the performance of presented algorithm effectively, different classifiers and feature extracting techniques have been considered in this work.
However, they are not taken into account the time-frequency characteristics of the handwriting feature extracting the stable handwriting features.
The basic idea is to match the pattern against the templates stored after using feature extracting techniques.
Lu et al. [35] considered the limitation of PCA for differentiating faults with similar time-varying characteristics and utilized wavelet analysis to extend the feature extracting ability into time-frequency domain.
Thus future work can focus on improving feature extracting methods by introducing the sequence features which consider the sequence-order information, such as K-space encoding scheme [ 19].
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The slides were then feature extracted using Agilent feature extraction software 9.5.3.1.
These clusters are a feature extracted from larger, untagged text which clusters the words into similar classes.
The second is elimination of the weak Gabor feature extracted for image I.
Analysis of feature extracted data was done using Agilent's GeneSpring GX V 7.3.1 software.
Microarray data were feature extracted using Feature Extraction Software (v. 7.11) from Agilent with the default parameters.
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