An Algorithm for Computing the Approximate IoU Between Oriented 2D boxes
This post shows an *approximation method to compute the IoU between oriented 2D boxes*.
Tag Algorithm
Fit the distribution of the sum of independent Gamma random variable
I implemented in Python an algorithm that fits the distribution of the sum of independent Gamma random variables.
A vectorized Mann-Kendall trend test implementation using numpy + scipy
In this post we are going to work out a vectorized Mann-Kendall trend test implementation using numpy and scipy.
Back-propagation in a convolution layer with numpy implementation
This post covers the derivations of back-propagation in a convolution layer, with numpy implementations.
Compute Sample Silhouette Values in a Clustering Analysis
This post shares a Python implementation to compute the Silhouette Values in a clustering analysis.
Ramer-Douglas-Peucker (RDP) algorithm in spherical coordinate
The Ramer-Douglas-Peucker (RDP) algorithm is a curve simplification method. To apply it on coordinates defined by latitudes/longitudes, we need to replace the Cartesian geometry with a spherical one.
Peak prominence
Peak prominence can be used to identify relatively organized regional maxima while filtering out local disturbances.