Approximation of the permanent of a matrix with nonnegative entries is a well studied problem. The most successful approach to date for general matrices uses Markov chains to appr...
A Bayesian method of generating color correction matrices for digital image sensors is presented. This method was developed for sensors with poor colorimetric quality, and uses st...
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
: Despite recent advances in map-generalization tools and theories, this work has been slow to find its way into the hands of the map-making public. Mapshaper.org is a free-touse g...
An artificial neural network was trained to classify musical chords into four categories--major, dominant seventh, minor, or diminished seventh--independent of musical key. After ...