A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

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For this, we use the Oriented Gradient Histogram (HOG) for each sub-band to extract these image features. We have used a proper classification based on the support vector machine (SVM) to recognize ...

While some argue that deep learning can reliably provide fine-grained classification and infer broader categories, this tactic only works with clear images. "Real-world applications involve plenty of ...

Abstract: This paper proposes a dominant color based vector quantization algorithm that automatically categorizes image regions. In contrast to the conventional vector quantization algorithm, the new ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...