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These approaches were successful in images classification problem.
In this paper, we proposed an information transferring approach to enhance remote sensing images classification performance.
Therefore, many researchers proposed all kinds of algorithms to address the remote sensing images classification problems.
In this section, we demonstrate the effectiveness of the proposed approach on remote sensing images classification tasks.
Traditional remote sensing images classification methods focused on using a large amount of labeled target data to train an efficient classification model.
In 1997, early classification approach based on naïve Bayes classifier was proposed by Domingos and Pazzani [43] in images classification where the independence assumption was violated.
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Sperm morphology is an image classification problem in sperm imaging.
The next level is image classification.
SGER: Explorations of Robust Image Classification (sponsored by NSF-IIS).
Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification.
But you can imagine what image classification will do.
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