A polynomial expansion to probability density function (pdf) approximation about Gaussian mixture densities is proposed in this paper. Using known polynomial series expansions we apply the Parzen ...

We introduce a differential-geometric structure for spectral density functions of discrete-time random processes. This is quite analogous to the Riemannian structure of information geometry, which is ...

Explore the fascinating world of convolutional neural networks (CNNs) and uncover how they’ve revolutionized the field of computer vision and deep learning. Understand the building blocks of CNNs and ...

This indicates two factors contributing to the scale invariance of the eigenspectrum. First, a small exponent µ in the kernel function means that pairwise correlations slowly decay with functional ...

pdf pypi plot sse probability-distribution hypothesis-testing kolmogorov-smirnov qqplot probability-statistics density-functions cumulative-distribution-function fitting-curve Updated last week ...