The SHOGUN machine learning toolbox S Sonnenburg, G Rätsch, S Henschel, C Widmer, J Behr, A Zien, F Bona, ... The Journal of Machine Learning Research 11, 1799-1802, 2010 | 413 | 2010 |
Visual heart rate estimation with convolutional neural network R Špetlík, V Franc, J Matas Proceedings of the british machine vision conference, Newcastle, UK, 3-6, 2018 | 315 | 2018 |
Detector of facial landmarks learned by the structured output SVM M Uřičář, V Franc, V Hlaváč International conference on computer vision theory and applications 2, 547-556, 2012 | 198 | 2012 |
Statistical pattern recognition toolbox for Matlab V Franc, V Hlavác Prague, Czech: Center for Machine Perception, Czech Technical University, 2004 | 193 | 2004 |
Optimized cutting plane algorithm for support vector machines V Franc, S Sonnenburg Proceedings of the 25th international conference on Machine learning, 320-327, 2008 | 185 | 2008 |
Multi-class support vector machine V Franc, V Hlavác 2002 International Conference on Pattern Recognition 2, 236-239, 2002 | 185 | 2002 |
Optimized invariant representation of network traffic for detecting unseen malware variants K Bartos, M Sofka, V Franc 25th USENIX Security Symposium (USENIX Security 16), 807-822, 2016 | 180 | 2016 |
Sequential coordinate-wise algorithm for the non-negative least squares problem V Franc, V Hlaváč, M Navara International Conference on Computer Analysis of Images and Patterns, 407-414, 2005 | 124 | 2005 |
An iterative algorithm learning the maximal margin classifier V Franc, V Hlaváč Pattern recognition 36 (9), 1985-1996, 2003 | 121 | 2003 |
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. V Franc, S Sonnenburg Journal of Machine Learning Research 10 (10), 2009 | 96 | 2009 |
COFFIN: A Computational Framework for Linear SVMs. S Sonnenburg, V Franc ICML, 999-1006, 2010 | 92 | 2010 |
Greedy algorithm for a training set reduction in the kernel methods V Franc, V Hlaváč International Conference on Computer Analysis of Images and Patterns, 426-433, 2003 | 81 | 2003 |
Support Vector Machines as Probabilistic Models V Franc, Z Alexander, S Bernhard International Conference on Machine Learning, 2011 | 73 | 2011 |
Learning detector of malicious network traffic from weak labels V Franc, M Sofka, K Bartos Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015 | 64 | 2015 |
Face and landmark detection by using cascade of classifiers H Cevikalp, B Triggs, V Franc 2013 10th IEEE international conference and workshops on automatic face and …, 2013 | 63 | 2013 |
Pascal large scale learning challenge S Sonnenburg, V Franc, E Yom-Tov, M Sebag 25th International Conference on Machine Learning (ICML2008) Workshop. http …, 2008 | 60 | 2008 |
Statistical pattern recognition toolbox for Matlab User’s guide V Franc, V Hlavac Czech technical university, 2004 | 55 | 2004 |
Optimization algorithms for kernel methods V Franc Prague: A PhD dissertation. Czech Technical University, 2005 | 51 | 2005 |
License plate character segmentation using hidden markov chains V Franc, V Hlaváč Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 …, 2005 | 50 | 2005 |
On model evaluation under non-constant class imbalance J Brabec, T Komárek, V Franc, L Machlica Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 49 | 2020 |