which involves changing the frequency of the data, either by upsampling (increasing the frequency) or downsampling (decreasing the frequency). In this article, we will discuss the process
machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-learning-explainability xai-library Updated Oct 30, 2021 Python maum...
No Information Loss:Unlike downsampling, which removes data points from the majority class, upsampling generates new data points, avoiding any information loss. Increase Data at Low Costs:Upsampling is especially effective, and is often the only way, to increase dataset size on demand in cases whe...
In this program, we will up sample an image. Up sampling is increasing the spatial resolution while keeping the 2D representation of an image. It is typically used for zooming in on a small region of an image. We will use the pyrup() function in the openCV library to complete this task...
(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 ...