CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems. Many machine learning problems fall into one of three ...

Consider a simple black-and-white image. If 0 is black (or on) and 1 is white (or off), then a simple black-and-white picture can be created using binary. In a low-resolution image, the pixels are ...

XML has gained considerable popularity over the past few years as the solution to enterprise integration problems. It provides the means for exchanging data in a platform- and language-independent ...

The problem addressed is to reverse the degradation which occurs when images are digitised: they are blurred, subjected to noise and rounding error, and sampled only at a lattice of points. Inference ...