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This structure can also be used for classification purposes.
In this paper we empirically analyze the importance of sparsifying representations for classification purposes.
The model is also applied to a real-world problem: training of neural networks for classification purposes.
Features will be used in a second stage as inputs of a supervised neural network (NN) for classification purposes.
It has been simplified for classification purposes.
Basic indices which includes; plastic limit, liquid limit, for the soil were determined for classification purposes.
The GLCM, TFCM, and LBP texture descriptors are employed to extract distinctive features for classification purposes.
The sample's origin was recorded in the database for classification purposes.
We used the standard ν-SVM classifier, with a Gaussian Mercer kernel, for classification purposes.
However, proportionally relationship makes these expressions equally valid for classification purposes.
In the next subsections, we show how the computed data is analysed and used for classification purposes.
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