machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-lear
A stride of 2×2 on a normal convolutional layer has the effect of downsampling the input, much like a pooling layer. In fact, a 2×2 stride can be used instead of a pooling layer in the discriminator model. The transpose convolutional layer is like an inverse convolutional ...
In upsampling, the frequency of the time series is increased. As a result, we have more sample points than data points. One of the main questions is how to account for the entries in the series where we have no measurement.Let's start with hourly data for a single day:...
(SH) domain by means of a spherical Fourier transform [9-10]. Next, a de-equalization is performed by extracting the equalized HRTFs at the spatial sampling points of the dense grid (SH-interpolation / spatial upsampling) and multiplying these HRTFs with the respective STFs in frequency ...
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