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A useful concept for understanding spatial filtering is that any image is made of spatial components at different kernel sizes.
Both service s 3 and service s 4 were each implemented by two executable services with different kernel sizes.
Moreover, we intend to evaluate the impact of training with additional synthetic edge orientations, using different kernel sizes and applying an edge thinning process to the output.
Next, part 2 marked in gray is an inception module which contains one max pooling layer and four convolutional layers with different kernel sizes.
In Figure11b,c,d, it was upscaled by a factor of 2, and different kernel sizes were used for each result.
Parallel convolution of different kernel sizes is designed for phrase segmentation, gate convolution for merging and filtering abstract features, and tiering 5 layers of CCBs for word connection in sentence.
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Tables 3, 4, and 5 present the accuracy of double JPEG compression detection achieved using different network connections, kernel sizes, and numbers of kernels.
We searched over the range 2−15 ≤γ≤2 and 2−5 ≤ C≤2 using a step size of 2. In preliminary studies involving the HD dataset, we tried using all of the different kernel functions available in libsvm.
A variety of post-filters with different kernel widths was applied to the TOF, HD and UHD images with kernel widths ranging from 0 to 10 mm FWHM in step sizes for 0.1 mm.
Results are robust to different kernel methods.
We investigate effects of two different kernel functions (i.e., Gaussian kernel and polynomial kernel) on the performance of kernel ELM.
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Justyna Jupowicz-Kozak
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