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target classification in the CHEMBL database.
Target classification in the Drug Bank database, Table S12.
Thus, a rough target classification can be achieved.
It was shown that exploiting the multipath SAR ghosts, target classification is improved in [13].
Identifying the resolution required to perform target classification is not a simple problem.
The OAB algorithm is a boosting approach for target classification in image series.
Finally, with the minimal reconstruction residual strategy, we can make the SAR target classification.
The algorithm this paper proposed mainly includes local feature learning, global feature obtaining, and target classification.
In this article, a novel bicepstrum-based approach is suggested for ground moving radar target classification.
The estimated parameters are very important for further requirements such as target classification and recognition.
Micro-Doppler (mD) signatures have great potential in the radar micro-dynamic target classification.
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