Vojtech Franc's homepage

Vojtech Franc

Center for Machine Perception (CMP)
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University
Karlovo namesti 13, 12135 Praha 2, Czech Republic
E-mail: xfrancvcmp.felk.cvut.cz
Tel. office: +420 2 2435 7665, Fax: +420 2 2435 7385

Position	Research fellow at Center for Machine Perception
Research interests	Pattern Recognition, Support Vector Machines, Optimization, Structured Classification
Qualification	MSc. and Ph.D. in Artificial Intelligence and Cybernetics from the Czech Technical University in Prague.
Current projects	SEMISOL Semi-Supervised Structred Output Learning. EU FP7 Marie Curie grant PERG04-GA-2008-239455. HUMAVIPS Humanoids with auditory and visual abilities in populated spaces. EC projects FP7-ICT-247525.
Past projects	SCOLES Scalable Online Learning Systems . EU FP6 Marie Curie grant MEIF-CT-2006-042107. PRINCESS Principles of Dissimilarity-Based Pattern Recognition in Signals, Symbolic Sequences and Images. INTAS 04-77-7347. COSPAL COgnitive Systems using Perception-Action Learning. EU FP6 project FP6-IST-004176. ECVision European Research Network on Cognitive Computer Vision Systems . EU FP5 project IST-2001-35454.
Curriculum Vitae	[pdf]

Selected publications

V. Franc, A. Zien, B.Schoelkopf. Support Vector Machines as Probabilistic Models. In Proceedings of the 28th International Machine Learning Conference (ICML'11). Belevue 2011. [pdf]
V. Franc, P. Laskov. Learning Maximal Margin Markov Networks via Tractable Convex Optimization. Control Systems and Computers, no 2., pp 25--34, 2011. [pdf]
V Franc, S Sonnenburg, T Werner. Cutting Plane Methods in Machine Learning. Optimization for Machine Learning, MIT Press, 2011. [pdf]
S. Sonnenburg, G. Ratsch, S. Henschel, C. Widmer, J. Behr, J, A. Zien, F. de~Bona, A. Binder, C. Gehl, V. Franc. The SHOGUN Machine Learning Toolbox. The Journal of Machine Learning Research (JMLR),vol 11, no. 6, pp. 1532-4435. June 2010. [pdf]
S. Sonnenburg, V. Franc. COFFIN: A Computational Framework for Linear SVMs. In Proceedings of the 27th International Machine Learning Conference (ICML'10). Haifa 2010. [pdf]
V. Franc, S. Sonnenburg. Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. The Journal of Machine Learning Research (JMLR), vol. 10, pp. 2157--2192. October 2009. [pdf]
V. Franc, S. Sonnenburg. OCAS optimized cutting plane algorithm for support vector machines. In Proceedings of the 25nd International Conference on Machine Learning (ICML'08). ACM Press, 2008. [pdf]
V. Franc, P. Laskov, K.-R.Mueller. Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines. In Proceedings of the 25nd International Conference on Machine Learning (ICML'08). ACM Press, 2008. [pdf]
V. Franc, B. Savchynskyy: Discriminative Learning of Max-Sum Classifiers. The Journal of Machine Learning Research (JMLR), vol. 9, pp. 67--104. January 2008. [pdf].
V. Franc. Optimization Algorithms for Kernel Methods. PhD thesis, CMP, FEE CTU Prague. Defended in November 2005. [pdf]
V. Franc, M. Navara, V. Hlavac. Sequential Coordinate-wise Algorithm for Non-negative Least Squares Problem. Research Report CTU-CMP-2005-06. February, 2005. [pdf].
V. Franc, V.Hlavac. An iterative algorithm learning the maximal margin classifier. Pattern Recognition, vol. 36, no. 9, pp. 1985--1996. September 2003, Elsevier. [pdf].
V. Franc, V.Hlavac. Multi-class Support Vector Machine. In Proceedings of the 16th International Conference on Pattern Recognition (ICPR'02), Quebec City, Canada, 2002. [pdf].

Complete list of my publications can be seen at CMP publications.

Software

Statistical Pattern Recognition toolbox for Matlab.
C Library for Quadratic Programming with interface to Matlab [pdf]. [zip].
LIBOCAS - Optimized Cutting Plane algorithm (OCAS) for training linear SVM classifier from large-scale data.

Selected publications

Software

Other links