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In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...
Abstract: The ldquowater-fillingrdquo solution for the quadratic rate-distortion function of a stationary Gaussian source is given in terms of its power spectrum. This formula naturally lends itself ...
In this context, our aim here is to show that a suitable modification of Maxwell’s original kinetic contribution (i.e. an extension of his first “postulate”), naturally leads to power-law velocity ...
Abstract: In this letter, using the Trapezoidal rule of numerical integration, we propose simpler and tighter approximations for the Gaussian Q function. These can be ...
The abundant cell type -- roughly 35% of all cells in the human brain -- appears to be a key part of orchestrating a complex network governing brain function. "We hope this begins to fundamentally ...
Demonstrate two use cases (sampling and projections) of the property of multivariate Gaussian densities and provide students hands on experience in Python modules, Numpy and Matplotlib. Implementation ...
Using photogrammetry, a point cloud is generated with an associated 3D Gaussian function describing the colour at that point. Blend these together, and you can get some very impressive ...
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