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nll

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  • 上传时间:2021-06-30
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Numerical learning library NLL is a multi-platform open source project entirely written in C++. Its goal is to propose generic and efficient algorithms for machine learning and more specifically computer vision. It is intended to be very easy to integrate and it is mainly composed of header files with no dependency on any library but the STL. Architecture NLL implements generic algorithms using template metaprogramming and a minimalist interface. Several layers are used: * core: the very basic structures and operations * algorithm_impl: generic algorithms with very limited dependencies and interface * algorithm: algorithms taking advantage of the NLL framework * imaging: algorithms related to imaging techniques such as volumes, slices, blending, lut tables, multi-planar reconstruction or maximum intensity projection. Details Here is an overview of some algorithms implemented in NLL: * classifiers (k-nearest neighbour, multi-layered

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nll-0.16
AUTHORS
ChangeLog
configure
doc
include
License.txt
Makefile
nll
nll.sln
nllTest
Readme.txt
release
tester
tutorial
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