Jul 1, 2013 — Expectation Maximization (EM) Algorithm — Let’s talk about jelly beans.  Specifically, imagine that you took a bag of every single brand of jelly bean in the world (meaning different colors, sizes, and ingredients) and dumped them into a bin.  Your bin now has some k... Read more

Jun 30, 2013 — Region Growing — Region Growing is an algorithm for segmentation of regions in an image based on the idea that regions share some property that can be computationally measured.  It’s one of those magical algorithms that is ridiculously simply, and powerful because the... Read more

Jun 30, 2013 — Probabilistic Graphical Models (PGM) — Flashcards - PGMs Read more

Jun 30, 2013 — Bayesian MAP Estimate — The **MAP **estimate (maximum a posteriori) estimate is another way to estimate the optimal parameters for a supervised prediction problem.  As a reminder, when we had some training set with features x and labels, y, were using maximum likelihood to... Read more