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Exact(10)
For feature fusion, a new technique is implemented which concentrate on the size of vector dimension.
Further, we observe that the ER performance of our considered system depends on code book size of vector quantized parameters.
This way the time-domain data are represented in a small size of vector or matrix and further used for feature extraction.
The quantization problem of the whole vector is decomposed into ρ sub-quantization problems where each sub-quantization deals with a smaller size of vector.
The size of vector c is smaller than the number of unknown weights (Delta w), thus many solutions exist for (8).
The main advantage of the method proposed in [28] is that it reduces the size of vector sets and computational complexity of the searching and matching processes.
Similar(50)
There is evidence that the superiority of this Euclidean distance calculation is due to intrinsic evolutionary differences that affect the size of vectors.
Thus the proposal for x is (30) Then, the proposal for π is (31) where n is the size of vectors x and π.
Figure 8 shows the F1 scores obtained on different sizes of vector sets.
The relatively small size of this vector compared to retroviral vector L087 simplifies the cloning and gives improved transformation efficiencies.
Values of zero motion vector ratio, mean size of motion vector, uniformity of the movement, horizontalness of movement, and greenness are the classification parameters which are used to segregate the set of videos into different content classes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com