Python library for adaptive Gaussian mixture state estimation. Useful for navigation and tracking in nonlinear non-Gaussian systems. Capable of incorporating negative information and other imprecise ...

Python implementation of a probabilistic kernel approach to preference learning based on Gaussian processes. Preference relations are captured in a Bayesian framework which allows in turn for global ...

Abstract: This exploratory study evaluates Gaussian blur as a baseline smoothing technique to reduce noise in digital plant images. Using Python with OpenCV, NumPy, Matplotlib, and scikit-image, we ...