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haythamfayek.com
| | blog.demofox.org
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| | This post explains how to use sliced optimal transport to make blue noise point sets. The plain, well commented C++ code that goes along with this post, which made the point sets and diagrams, is at https://github.com/Atrix256/SOTPointSets. This is an implementation and investigation of "Sliced Optimal Transport Sampling" by Paulin et al (http://www.geometry.caltech.edu/pubs/PBCIW+20.pdf).?They also have...
| | ataspinar.com
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| | [latexpage] Introduction Stochastic Signal Analysis is a field of science concerned with the processing, modification and analysis of (stochastic) signals. Anyone with a background in Physics or En...
| | cyclostationary.blog
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| | The non-blind spectral-correlation estimator called the FSM is favored when one wishes to have fine control over frequency resolution and can tolerate long FFTs.
| | pyimagesearch.com
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| In this tutorial, you will learn what gradient descent is, how gradient descent enables us to train neural networks, variations of gradient descent, including Stochastic Gradient Descent (SGD), and how SGD can be improved using momentum and Nesterov acceleration.