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Project Release infomations and Project Resources. Note that these informations are from this projects Freecode.com page and the downloads themselves may not be hosted with SourceForge.JP.
Project Release Information2013-02-05 08:51 This release includes a large number of new minor features and usability improvements. It also includes a new machine learning tool for learning to rank objects. This is the dlib::svm_rank_trainer, an implementation of the well known SVM-Rank algorithm. Moreover, the implementation runs in O(n*log(n)) time and is therefore suitable for use with large training datasets. 2012-12-20 08:06 This release brings a number of new features to the library. Highlights include a probabilistic CKY parser, tools for creating applications using the Bulk Synchronous Parallel computing model, and two new clustering algorithms: Chinese Whispers and Newman's modularity clustering. 2012-02-03 10:19 This release contains a number of new features, bugfixes, and usability improvements. Highlights include a structural support vector machine method for learning to solve assignment problems and new feature extractors for detecting objects in images. 2011-11-22 14:35 This release contains a number of new features and bugfixes. Some highlights are a structural support vector machine method for learning to do sequence labeling, as well as a graph-based image segmentation tool. 2011-10-22 15:01 This release contains a number of new features and bugfixes. Some highlights are a structural support vector machine method for learning to detect objects in images, and two new general purpose tools for solving the MAP problem in graphical models. Project Resources
Project Description dlib is a C++ library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, and numerous other tasks. |