Abstract: In this paper, we propose a software/hardware co-accelerator architecture based on approximate k-d tree for accelerating k-nearest neighbor (KNN) search. Firstly, aiming at the ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Photoshop cc tutorial showing how to merge together multiple source photos into one seamless image using Photomerge. This works especially well in creating panoramic images. Tutorial on using the ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...