Release Notes: In addition to some bugfixes, this release also brings the following notable improvements to the library: a more accurate SURF feature extractor, a faster cutting plane solver, a routine for computing the singular value decomposition of very large matrices, a tool for performing canonical correlation analysis on large datasets, and simple tools for writing parallel for loops.
Release Notes: This release has focused mostly on minor usability and feature improvements. Some highlights are better support for learning to do sequence labeleing from unbalanced data, new image processing routines, and new tools tools for performing Kalman filtering and recursive least squares filtering.
Release Notes: This release has been focused mainly on usability and documentation improvements.
Release Notes: This release has been focused mainly on usability improvements.
Release Notes: This release has focused mostly on addressing minor usability problems and bugs. However, there are a few new tools as well.
Release Notes: This release was focused on improving the documentation and bug fixing. It also includes some new machine learning algorithms for performing semi-supervised PCA and computing empirical kernel maps.