Davis Gareth

This page is intended to be a list of the projects or groups using the dlib C++ library. So feel free to add to this page if you are using the library (including links to your project/group's homepage if you like).

dlib Users

  • The folks here at the Automatic Target Recognition and Image Exploitation Technology Center use the dlib library often. It is great for implementing our compile time asserts. Furthermore, the support vector machine classifier support in dlib has been exceptional. The dlib svm outperformed the svm we had in house by a significant margin.
  • 7Marsyas, the security development technology... we are using your library. encoding, SVM, bayesian nets .... great and thank you.
  • A graduate student who is studying data mining has used dlib. It provides common machine learning algorithms and plenty of samples also.
  • The ML Demos application
  • The [Mobile Mind ] platform for doing machine learning on mobile phones.

Papers Citing dlib

  • Citations in Google Scholar
  • King, Davis E. "Dlib-ml: A machine learning toolkit." The Journal of Machine Learning Research 10 (2009): 1755-1758.
  • Lin, Honghuang, Peng Li, and Chris J. Myers. "Verification of digitally-intensive analog circuits via kernel ridge regression and hybrid reachability analysis." Proceedings of the 50th Annual Design Automation Conference. ACM, 2013.
  • Serra-Toro, Carlos, and V. Javier Traver. "Exploring Relevance Vector Machines for Faster Pedestrian Classification." Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2013. 509-516.
  • Gossow, David, Peter Decker, and Dietrich Paulus. "An evaluation of open source SURF implementations." RoboCup 2010: Robot Soccer World Cup XIV. Springer Berlin Heidelberg, 2011. 169-179.
  • Giannakopoulos, Theodoros, Sergios Petridis, and Stavros Perantonis. "User-driven recognition of audio events in news videos." Semantic Media Adaptation and Personalization (SMAP), 2010 5th International Workshop on. IEEE, 2010.
  • 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.
  • Gould, Stephen. "DARWIN: A Framework for Machine Learning and Computer Vision Research and Development." Journal of Machine Learning Research 13 (2012): 3533-3537.
  • Portalska, Karolina Janeczek, et al. "Endothelial differentiation of mesenchymal stromal cells." PloS one 7.10 (2012): e46842.
  • Masci, Paolo, and Alessandra Tedeschi. "Modelling and evaluation of a game-theory approach for airborne conflict resolution in omnet++." Dependability, 2009. DEPEND'09. Second International Conference on. IEEE, 2009.
  • Göbelbecker, Moritz, Charles Gretton, and Richard Dearden. "A switching planner for combined task and observation planning." Twenty-Fifth Conference on Artificial Intelligence (AAAI-11). 2011.
  • 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.
  • Coelho, Luis Pedro. "Mahotas: Open source software for scriptable computer vision." arXiv preprint arXiv:1211.4907 (2012).
  • Lopes, L., and Bernardete Ribeiro. "GPUMLib: An Efficient Open-Source GPU Machine Learning Library." International Journal of Computer Information Systems and Industrial Management Applications ISSN (2010): 2150-7988.
  • Ng, Kian B., Ross Cunnington, and Andrew P. Bradley. "Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure." Neural Networks (IJCNN), The 2012 International Joint Conference on. IEEE, 2012.
  • Kohlhaas, Ralf, et al. "Dynamic Bayesian Network Library." Autonome Mobile Systeme 2009. Springer Berlin Heidelberg, 2009. 233-240.
  • Ng, Kian B., Andrew P. Bradley, and Ross Cunnington. "Stimulus specificity of a steady-state visual-evoked potential-based brain–computer interface." Journal of neural engineering 9.3 (2012): 036008.
  • Liu, Lantao, and Dylan Shell. "Optimal Market-based Task Allocation via Strategic Pricing."
  • 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.
  • Liu, Lantao, and Dylan A. Shell. "A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality." Proceedings of Robotics: Science and Systems. 2012.
  • Huang, Jin, et al. "Boundary aligned smooth 3D cross-frame field." ACM Transactions on Graphics (TOG). Vol. 30. No. 6. ACM, 2011.
  • Alcantarilla, Pablo F., Luis M. Bergasa, and Andrew J. Davison. "Gauge-SURF descriptors." Image and Vision Computing (2012).
  • Lopes, Noel, Bernardete Ribeiro, and Ricardo Quintas. "GPUMLib: a new library to combine machine learning algorithms with graphics processing units." Hybrid Intelligent Systems (HIS), 2010 10th International Conference on. IEEE, 2010.
  • Gouriten, Georges, Silviu Maniu, and Pierre Senellart. "Exploration adaptative de graphes sous contrainte de budget."
  • Liu, Lantao, and Dylan A. Shell. "An Anytime Assignment Algorithm: From Local Task Swapping to Global Optimality."
  • Wang, Yan-Hong, and Xiang Cheng. "Heuristics for Multiple Class Classification Problems via ROC Hypersurface." Information and Computing (ICIC), 2010 Third International Conference on. Vol. 3. IEEE, 2010.
  • Vanin, Fausto Neri da Silva. "Representação e Extração de Métricas em Bases de Características: Uma Abordagem Orientada a Objetos." Revista Brasileira de Computação Aplicada 2.2 (2010): 17-31.
  • Reducha, Wojciech. Parameter Estimation of the Pareto-Beta Jump-Diffusion Model in Times of Catastrophe Crisis. Diss. Halmstad University, 2011.
  • Mohan, Vandana, et al. "Intraoperative prediction of tumor cell concentration from Mass Spectrometry Imaging." Int. Symp. Math. Theo. Netw. Syst. 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.
  • Schaeferling, Michael, and Gundolf Kiefer. "Flex-SURF: a flexible architecture for FPGA-Based robust feature extraction for optical tracking systems." Reconfigurable Computing and FPGAs (ReConFig), 2010 International Conference on. IEEE, 2010.
  • 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.
  • Carreras, Robert. MLFAT: a machine learning file archival tool. Diss. California State University, 2012.
  • Rodriguez, Alberto, et al. "Abort and retry in grasping." Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on. IEEE, 2011.
  • Guo, Ruibiao J., David Unrau, and Joe Armstrong. Scoping report: AI-driven wargame replicator. No. DRDC-CR-2010-269. CAE PROFESSIONAL SERVICES OTTAWA (ONTARIO), 2010.
  • Rexakis, Ioannis, and Michail G. Lagoudakis. "Directed Policy Search Using Relevance Vector Machines." Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on. Vol. 1. IEEE, 2012.
  • Toukhy, Mohamed H. "Data Mining Techniques for Smart Grid Load Forecasting." (2012).
  • Martin, Bc Klíma. "Implementace sousměrného vyhledávání v textu."
  • Mohan, Vandana. "Computer vision and machine learning methods for the analysis of brain and cardiac imagery." (2010).
  • Bormann, Richard Klaus Eduard. "Vision-based place categorization." (2010).

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