Английская Википедия:Dlib
Шаблон:Short description Шаблон:Infobox software Dlib is a general purpose cross-platform software library written in the programming language C++. Its design is heavily influenced by ideas from design by contract and component-based software engineering. Thus it is, first and foremost, a set of independent software components. It is open-source software released under a Boost Software License.
Since development began in 2002, Dlib has grown to include a wide variety of tools. As of 2016, it contains software components for dealing with networking, threads, graphical user interfaces, data structures, linear algebra, machine learning, image processing, data mining, XML and text parsing, numerical optimization, Bayesian networks, and many other tasks. In recent years, much of the development has been focused on creating a broad set of statistical machine learning tools and in 2009 Dlib was published in the Journal of Machine Learning Research.[1] Since then it has been used in a wide range of domains.[2][3][4][5][6][7][8][9][10][11][12][13][14]
See also
References
External links
- ↑ Шаблон:Cite journal
- ↑ Scholarly research using Dlib
- ↑ Dlib on mloss.org
- ↑ Autonome Mobile Systeme 2009
- ↑ ESS: Extremely Simple Serialization for C++
- ↑ Шаблон:Cite journal
- ↑ Yan, Junchi, et al. "Online incremental regression for electricity price prediction." Service Operations and Logistics, and Informatics (SOLI), 2012 IEEE International Conference on. IEEE, 2012. Шаблон:Cite book
- ↑ Kuijf, Hugo J., Max A. Viergever, and Koen L. Vincken. "Automatic Extraction of the Curved Midsagittal Brain Surface on MR Images." Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging. Springer Berlin Heidelberg, 2013. 225-232. Шаблон:Cite book
- ↑ Bormann, Richard Klaus Eduard. "Vision-based place categorization." (2010).
- ↑ Brodu, Nicolas, and Dimitri Lague. "3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology." ISPRS Journal of Photogrammetry and Remote Sensing 68 (2012): 121–134.
- ↑ Aung, Zeyar, et al. "Towards accurate electricity load forecasting in smart grids." DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. 2012.
- ↑ Rodriguez, Alberto, et al. "Abort and retry in grasping." Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on. IEEE, 2011. Шаблон:Cite book
- ↑ Mohan, Vandana, et al. "Intraoperative prediction of tumor cell concentration from Mass Spectrometry Imaging." Int. Symp. Math. Theo. Netw. Syst. 2010.
- ↑ Nakashima, Yuta, Noboru Babaguchi, and Jianping Fan. "Detecting intended human objects in human-captured videos." Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on. IEEE, 2010. Шаблон:Cite book
- Английская Википедия
- C++ libraries
- C++ numerical libraries
- Computer vision software
- Data mining and machine learning software
- Free software programmed in C++
- Free statistical software
- Software using the Boost license
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