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The three kinds of the small sample target objects respectively are the UAVs, birds, and kites.
Fig. 1 Design frame diagram of small sample target object classification algorithm.
Fig. 5 The third type of the small sample target objects (Kites).
The first is a domain-independent eigenvalue placement design problem that is tested for some sample target sets of eigenvalues.
Using the convolution point by point in the small sample target object images by using the local feature learnt in the CNN model, the global features of the small sample target object images can be obtained.
Finally, the global feature is sent to the classifier to realize the classification of the small sample target object images.
The Accuracy index of the algorithm in the small sample target object classification is shown in Table 2.
He's also made the below video demo showing the man in the middle technique working on Android and Linux against a dummy user of Match.com as the sample target — to grab their username and password in plain text.
In the current study, we used the adenosine A3 receptor (A3R) as a sample target to validate the suitability of the used system and the experimental approaches.
In the multiple target object classification experiments, we take three kinds of small sample target objects to carry out the classification.
The design frame diagram of the small sample target object classification algorithm proposed in this paper is shown in Fig. 1.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com