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<h2 id="see-also">See also</h2> <ul><li><a href="/facts/List_of_numerical_libraries/p5kgpwob">List of numerical libraries for .NET framework</a></li> <li><a href="/facts/ML.NET/VT9L7fwH">ML.NET</a></li></ul> <h2 id="external-links">External links</h2> <ul><li><a href="http://accord-framework.net/">Official web site</a></li> <li><a href="https://github.com/accord-net/framework">Project home</a> on <a href="/facts/GitHub/n1hNCsc3">GitHub</a></li> <li><a href="https://www.nuget.org/packages?q=accord.net">Accord.NET packages</a> at <a href="/facts/NuGet/EzKUx5B2">NuGet</a></li> <li><a href="http://www.aforgenet.com/framework/projects.html">Aforge.NET site</a> on projects using the framework, mentioning Accord.NET as extension of the framework.</li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Greg Duncan. Portable Image and Video processing with help from AForge.NET and Accord.NET. [1] Channel 9, November 2014. Web extract <a href="https://channel9.msdn.com/coding4fun/blog/Portable-Image-and-Video-processing-with-help-from-AForgeNET-and-AccordNET" target="_blank">https://channel9.msdn.com/coding4fun/blog/Portable-Image-and-Video-processing-with-help-from-AForgeNET-and-AccordNET</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Accord project on Open Hub. [2] Web extract <a href="https://www.openhub.net/p/Accord-NET" target="_blank">https://www.openhub.net/p/Accord-NET</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>"Mastering .NET Machine Learning". www.packtpub.com. <a href="https://www.packtpub.com/big-data-and-business-intelligence/mastering-net-machine-learning" target="_blank">https://www.packtpub.com/big-data-and-business-intelligence/mastering-net-machine-learning</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>"F# for Machine Learning Essentials". www.packtpub.com. <a href="https://www.packtpub.com/big-data-and-business-intelligence/f-machine-learning" target="_blank">https://www.packtpub.com/big-data-and-business-intelligence/f-machine-learning</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>"NET Machine Learning: F# and Accord.NET". InfoQ. <a href="https://www.infoq.com/presentations/accord-net-machine-learning" target="_blank">https://www.infoq.com/presentations/accord-net-machine-learning</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>Accord.NET Framework project on GitHub <a href="https://github.com/accord-net/framework" target="_blank">https://github.com/accord-net/framework</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>Blamey, Ben; Crick, Tom; Oatley, Giles (2013). "'The First Day of Summer': Parsing Temporal Expressions with Distributed Semantics" (PDF). Research and Development in Intelligent Systems XXX (PDF). Springer, Cham. pp. 389–402. doi:10.1007/978-3-319-02621-3_29. ISBN 978-3-319-02620-6. <a href="978-3-319-02620-6" target="_blank">978-3-319-02620-6</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>Mueller, Wojciech; Nowakowski, Krzysztof; Tomczak, Robert J.; Kujawa, Sebastian; Rudowicz-Nawrocka, Janina; Idziaszek, Przemysław; Zawadzki, Adrian (2013-07-19). "IT system supporting acquisition of image data used in the identification of grasslands". In Wang, Yulin; Yi, Xie (eds.). Fifth International Conference on Digital Image Processing (ICDIP 2013). Vol. 8878. International Society for Optics and Photonics. pp. 88781T–88781T–4. doi:10.1117/12.2031602. S2CID 368511. <a href="http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1718506" target="_blank">http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1718506</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>Arriaga, Julio; Kossan, George; Cody, Martin; Vallejo, Edgar; Taylor, Charles (2013). "Acoustic sensor arrays for understanding bird communication. Identifying Cassin's Vireos using SVMs and HMMs". Advances in Artificial Life, ECAL 2013: 827–828. CiteSeerX 10.1.1.474.7109. doi:10.7551/978-0-262-31709-2-ch120. ISBN 9780262317092. <a href="9780262317092" target="_blank">9780262317092</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li> <li id="fn:10"><p>Keramitsoglou, I.; Kiranoudis, C. T.; Weng, Q. (September 2013). "Downscaling Geostationary Land Surface Temperature Imagery for Urban Analysis". IEEE Geoscience and Remote Sensing Letters. 10 (5): 1253–1257. Bibcode:2013IGRSL..10.1253K. doi:10.1109/lgrs.2013.2257668. ISSN 1545-598X. S2CID 8990560. <a href="/wiki/Bibcode_(identifier)" target="_blank">/wiki/Bibcode_(identifier)</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li> <li id="fn:11"><p>Afif, Mohammed H.; Hedar, Abdel-Rahman; Hamid, Taysir H. Abdel; Mahdy, Yousef B. (2012-12-08). "Support Vector Machines with Weighted Powered Kernels for Data Classification". Advanced Machine Learning Technologies and Applications. Communications in Computer and Information Science. Vol. 322. pp. 369–378. doi:10.1007/978-3-642-35326-0_37. ISBN 978-3-642-35325-3. <a href="978-3-642-35325-3" target="_blank">978-3-642-35325-3</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> <li id="fn:12"><p>De Souza, Cesar Roberto (2017). "Procedural Generation of Videos to Train Deep Action Recognition Networks". Computer Vision and Pattern Recognition. 2017: 4757–4767. arXiv:1612.00881 – via CVPR Open Access. <a href="http://openaccess.thecvf.com/content_cvpr_2017/html/de_Souza_Procedural_Generation_of_CVPR_2017_paper.html" target="_blank">http://openaccess.thecvf.com/content_cvpr_2017/html/de_Souza_Procedural_Generation_of_CVPR_2017_paper.html</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li> </ol>