All releases of dlib C++ Library

  •  05 Mar 2008 13:40
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    Release Notes: This release of the library improves the support vector machine utilities. Specifically, probabilistic outputs are now possible using the probabilistic_decision_function. The training speed has also been further optimized for large data sets.

    •  22 Feb 2008 15:24
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      Release Notes: This release fixes some minor bugs and improves the feature set of the support vector machine and image processing utilities.

      •  13 Feb 2008 14:39
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        Release Notes: This release is mainly focused on testing and bug fixing as well as improving the usability and documentation of the library.

        •  25 Jan 2008 14:23
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          Release Notes: This release adds new image processing functions, minor changes, and bugfixes.

          •  02 Jan 2008 16:18
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            Release Notes: Only minor bugfixes and additions were done in this release. The support vector machine documentation has also been improved and an example program was added.

            •  11 Dec 2007 18:05
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              Release Notes: The way the library is built has changed, and the winmain() entry point for GUI applications has been removed. Two new major items have also been added to the library: Bayesian network inference algorithms, and a proper font loader for the GUI tools.

              •  19 Nov 2007 16:30
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                Release Notes: This release is focused primarily on improving the usability of the library as well as to increasing compatibility with various compilers and libraries.

                •  26 Oct 2007 13:13
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                  Release Notes:

                  •  10 Oct 2007 15:22
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                    Release Notes: This release primarily improves the matrix and linear algebra components of this library. However, some minor bugfixes and additional improvements are also present.

                    •  26 Sep 2007 13:25
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                      Release Notes: This release of the library includes some new machine learning algorithms. Specifically, it includes a multi-layer perception and a nu support vector machine. It also includes further speed optimizations of the linear algebra library and 22 new functions that operate on matrix objects. Lastly, some minor bugs have been fixed.

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