Move ml to opencv_contrib

modules/ml/CMakeLists.txt

@@ -0,0 +1,10 @@
+set(the_description "Machine Learning")
+
+ocv_add_module(ml opencv_core WRAP java objc python)
+ocv_glob_module_sources()
+ocv_module_include_directories()
+ocv_create_module()
+
+ocv_add_accuracy_tests()
+ocv_add_perf_tests()
+ocv_add_samples(opencv_imgproc opencv_objdetect opencv_video)

modules/ml/doc/ml.bib

@@ -0,0 +1,60 @@
+@inproceedings{RPROP93,
+  author = {Riedmiller, Martin and Braun, Heinrich},
+  title = {A direct adaptive method for faster backpropagation learning: The RPROP algorithm},
+  booktitle = {Neural Networks, 1993., IEEE International Conference on},
+  year = {1993},
+  pages = {586--591},
+  publisher = {IEEE}
+}
+@article{Kirkpatrick83,
+  author = {Kirkpatrick, S. and Gelatt, C. D. Jr and Vecchi, M. P.},
+  title = {Optimization by Simulated Annealing},
+  year = {1983},
+  pages = {671--680},
+  journal = {Science},
+  volume = {220},
+  number = {4598},
+  publisher = {American Association for the Advancement of Science},
+  url = {http://sci2s.ugr.es/sites/default/files/files/Teaching/GraduatesCourses/Metaheuristicas/Bibliography/1983-Science-Kirkpatrick-sim_anneal.pdf}
+}
+@incollection{bottou2010large,
+  title = {Large-scale machine learning with stochastic gradient descent},
+  author = {Bottou, L{\'e}on},
+  booktitle = {Proceedings of COMPSTAT'2010},
+  pages = {177--186},
+  year = {2010},
+  publisher = {Springer}
+}
+@article{LibSVM,
+  author = {Chang, Chih-Chung and Lin, Chih-Jen},
+  title = {LIBSVM: a library for support vector machines},
+  year = {2011},
+  pages = {27},
+  journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
+  volume = {2},
+  number = {3},
+  publisher = {ACM}
+}
+@book{Breiman84,
+  title = {Classification and regression trees},
+  author = {Breiman, Leo and Friedman, Jerome and Stone, Charles J and Olshen, Richard A},
+  year = {1984},
+  publisher = {CRC press},
+  url = {https://projecteuclid.org/download/pdf_1/euclid.aos/1016218223}
+}
+@article{HTF01,
+  author = {Trevor, Hastie and Robert, Tibshirani and Jerome, Friedman},
+  title = {The elements of statistical learning: data mining, inference and prediction},
+  year = {2001},
+  pages = {371--406},
+  journal = {New York: Springer-Verlag},
+  volume = {1},
+  number = {8},
+  url = {http://www.stat.auckland.ac.nz/~yee/784/files/ch09AdditiveModelsTrees.pdf}
+}
+@article{FHT98,
+  author = {Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert},
+  title = {Additive Logistic Regression: a Statistical View of Boosting},
+  year = {1998},
+  url = {https://projecteuclid.org/download/pdf_1/euclid.aos/1016218223}
+}