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@ -13,26 +13,30 @@
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<current>
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New Stuff:
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- Added some macros that allow dlib to create a stack trace
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- Added a kernel based centroid estimator/novelty detector
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- Added a kernel based k-means clustering algorithm
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- Added an identity_matrix() function that can take a runtime defined size.
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- Added a bunch of unconstrained optimization stuff to the library.
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It now has a conjugate gradient optimization algorithm as well as
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a quasi-newton algorithm.
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- Added the wrap_function and is_function templates.
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- Added two new events to the text_field object. One for detecting when the
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user hits enter and another for detecting when input focus is lost.
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- Added the set_subm, set_rowm, and set_colm functions.
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- Machine Learning
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- Added a kernel based centroid estimator/novelty detector
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- Added a kernel based k-means clustering algorithm
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- Numerical
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- Added an identity_matrix() function that can take a runtime defined size.
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- Added a bunch of unconstrained optimization stuff to the library.
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It now has a conjugate gradient optimization algorithm as well as
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a quasi-newton algorithm.
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- Added the set_subm, set_rowm, and set_colm functions.
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Non-Backwards Compatible Changes:
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- In the krls object: Added a requires clause to the set_tolerance() member
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function and renamed clear() to clear_dictionary().
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Bug fixes:
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- Fixed a bug in the requires clause of the subm() function. It was
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more restrictive than it should have been.
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Other:
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- Added example programs for the krls object as well as the new
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kcentroid object.
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kcentroid and kkmeans objects.
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</current>
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