Searchable CMP database

2017

H. Cevikalp, V. Franc. Large-scale robust transductive support vector machines. Neurocomputing, 2017. (BibTex)

V. Franc, O. Fikar, K. Bartos, M. Sofka. Learning data discretization via convex optimization. Machine Learning, 2017. (PDF,BibTex)

V. Franc, J. Cech. Face attribute learning from weakly annotated examples. In Proc. of International Conference on Automatic Face and Gesture Recognition Workshops, Biometrics in the Wild (BWILD), 2017. (PDF,BibTex)

R. Spetlik, J. Cech, V. Franc, J. Matas. Visual Language Identification from Facial Landmarks. In Proc. of Scandinavian Conference on Image Analysis, 2017. (BibTex)

2016

K. Antoniuk, V. Franc, V. Hlavac. V-shaped interval insensitive loss for ordinal classification. Machine Learning, 2016. (PDF,BibTex)

K. Bartos, M. Sofka, V. Franc. Optimized Invariant Representation of Network Traffic for Detecting Unseen Malware Variants. In USENIX security symposium, 2016. (PDF,BibTex)

J. Cech, V. Franc, M. Uricar, J. Matas. Multi-view facial landmark detection by using a 3D shape model. Image and Vision Computing, 2016. (PDF,BibTex)

V. Franc, O. Fikar, K. Bartos, M. Sofka. Learning data discretization via convex optimization. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2016. (PDF,BibTex)

M. Uricar, V. Franc, D. Thomas, A. Sugimoto, V. Hlavac. Multi-view facial landmark detector learned by the Structured Output {SVM}. Image and Vision Computing, 2016. (PDF,BibTex)

2015

K. Antoniuk, V. Franc, V. Hlavac. Consistency of structured output learning with missing labels. In Proc. of Asian Conference on Machine Learning (ACML), 2015. (PDF,BibTex) BEST STUDENT PAPER + FIRST RUNNER UP

V. Franc, M. Sofka, K. Bartos. Learning Detector of Malicious Network Traffic from Weak Labels. In Proc. of European Conference on Machine Learning and Practice of Knowledge Discovery in Databases (ECML PKDD), 2015. (PDF,BibTex)

M. Uricar, V. Franc, D. Tomas, A. Sugimoto, V. Hlavac. Real-time Multi-view Facial Landmark Detector Learned by the Structured Output SVM. In Proc. of International Conference on Automatic Face and Gesture Recognition Workshops, Biometrics in the Wild (BWILD), 2015. (PDF,BibTex)

2014

K. Antoniuk, V. Franc, V. Hlavac. Interval Insensitive Loss for Ordinal Classification. In Proc. of Asian Conference on Machine Learning (ACML), 2014. (PDF,BibTex)

J. Cech, V. Franc, J. Matas. A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking. In Proc. of International Conference on Pattern Recognition (ICPR), 2014. (PDF,BibTex)

V. Franc. FASOLE: Fast Algorithm for Structured Output LEarning. In Proc. of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2014. (PDF,BibTex)

V. Franc, K. Bartos, M. Sofka, P. Somol, J. Matas. Learning detector of malicious network communication from data. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2014. (BibTex)

2013

X. Alameda-Pineda, J. Sanchez-Riera, J. Wienke, V. Franc, J. Cech, K. Kulkarni, A. Delaforge, R. Horaud. RAVEL: an annotated corpus for training robots with audiovisual abilities. Journal on Multimodal User Inteface, 2013. (PDF,BibTex)

K. Antoniuk, V. Franc, V. Hlavac. MORD: Multi-class Classifier for Ordinal Regression. In Proc. of European Conference on Machine Learning and Practice of Knowledge Discovery in Databases (ECML PKDD), 2013. (PDF,BibTex)

H. Cevikalp, B. Triggs, V. Franc. Face and Landmark Detection by Using Cascade of Classifiers. In Proc. of IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2013. (PDF,BibTex)

R. Sara, M. Matousek, V. Franc. {RANSACing} Optical Image Sequences for {GEO} and near-{GEO} Objects. In Proc. of the Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), 2013. (PDF,BibTex)

M. Uricar, V. Franc, V. Hlavac. Facial Landmarks Detector Learned by the Structured Output SVM. Computer Vision, Imaging and Computer Graphics. Theory and Application, 2013. (PDF,BibTex)

M. Uricar, V. Franc, V. Hlavac. Bundle Methods for Structured Output Learning --- Back to the Roots. In Proc. of Scandinavian Conference on Image Analysis (SCIA), 2013. (PDF,BibTex)

2012

X. Alameda-Pineda, J. Sanchez-Riera, J. Wienke, V. Franc, J. Cech, K. Kulkarni, A. Deleforge, R. Horaud. RAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities. Reserach report, INRIA Rhone-Alpes, 2012. (PDF,BibTex)

K. Antoniuk, V. Franc, V. Hlavac. Learning Markov Networks by Analytic Center Cutting Plane Method. In Proc. of International Conference on Pattern Recognition (ICPR), 2012. (PDF,BibTex)

V. Franc, S. Sonnenburg, T. Werner. Cutting-Plane Methods in Machine Learning. Optimization for Machine Learning, The MIT Press, 2012. (PDF,BibTex)

V. Franc, K. Antoniuk, M. Uricar. Discriminative structured output learning from partially annotated examples. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2012. (PDF,BibTex)

M. Uricar, V. Franc. Bundle Method for Structured Output Learning. Reserach report, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, 2012. (PDF,BibTex)

M. Uricar, V. Franc. Efficient Algorithm for Regularized Risk Minimization. In Proc. of the Computer Vision Winter Workshop (CVWW), 2012. (PDF,BibTex)

M. Uricar, V. Franc, V. Hlavac. Detector of Facial Landmarks Learned by the Structured Output {SVM}. In Proc. of the International Conference on Computer Vision Theory and Applications (VISAPP), 2012. (PDF,BibTex) BEST STUDENT PAPER

2011

V. Franc, P. Laskov. Learning Maximal Margin Markov Networks via Tractable Convex Optimization. Control Systems and Computers, 2011. (PDF,BibTex)

V. Franc, A. Zien, B. Schoelkopf. Support Vector Machines as Probabilistic Models. In Proc. of the International Conference on Machine Learning (ICML), 2011. (PDF,BibTex)

2010

V. Franc. Algoritmus pro minimalizaci regularizovan{\' e}ho rizika. In Anal{\' y}za dat 2010/II, Statistick{\' e} metody pro technologii a v{\' y}zkum, 2010. (BibTex)

S. Sonnenburg, V. Franc. COFFIN: A Computational Framework for Linear SVMs. In Proc. of the Annual International Conference on Machine Learning (ICML), 2010. (BibTex)

S. Sonnenburg, G. Raetsch, S. Henschel, C. Widmer, J. Behr, A. Zien, F. de~Bona, A. Binder, C. Gehl, V. Franc. The SHOGUN Machine Learning Toolbox. Journal of Machine Learning Research, 2010. (PDF,BibTex)

2009

V. Franc, S. Sonneburg. Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization. Journal of Machine Learning Research, 2009. (PDF,BibTex)

S. Sonnenburg, V. Franc. {COFFIN:} A Computational Framework for Linear {SVMs}. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2009. (PDF,BibTex)

2008

V. Franc, P. Laskov, K. Mueller. Stopping conditions for exact computation of leave-one-out error in support vector machines. In Proc. of the International Conference on Machine Learning (ICML), 2008. (PDF,BibTex)

V. Franc, B. Savchynskyy. Discriminative Learning of Max-Sum Classifiers. Journal of Machine Learning Research, 2008. (PDF,BibTex)

V. Franc, S. Sonnenburg. Optimized cutting plane algorithm for support vector machines. In Proc. of the International Conference on Machine Learning (ICML), 2008. (PDF,BibTex)

J. Rathousky, M. Urban, V. Franc. Recognition of Text with Known Geometric and Grammatical Structure. In Proc. of the International Conference on Computer Vision Theory and Applications (VISAPP), 2008. (PDF,BibTex)

2006

V. Franc, V. Hlavac. A Novel Algorithm for Learning Support Vector Machines with Structured Output Spaces. Reserach report, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, 2006. (PDF,BibTex)

V. Franc, V. Hlavac. Greedy Kernel Principal Component Analysis. In Cognitive Vision Systems, 2006. (BibTex)

2005

V. Franc, V. Hlavac. Simple Solvers for Large Quadratic Programming Tasks. In Proc. of the Deutsche Arbeitsgemeinschaft fur Mustererkennung (DAGM), 2005. (PDF,BibTex)

V. Franc, V. Hlavac. License Plate Character Segmentation Usint Hidden Markov Chains. In Proc. of the Deutsche Arbeitsgemeinschaft fur Mustererkennung (DAGM), 2005. (PDF,BibTex)

V. Franc, V. Hlavac, M. Navara. Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares Problem. In Proc. of the International Conference on Computer Analysis of Images and Patterns (CAIP), 2005. (PDF,BibTex)

V. Franc. Optimization Algorithms for Kernel Methods. PhD thesis, Center for Machine Perception, K13133 FEE Czech Technical University, 2005. (PDF,BibTex)

V. Franc, M. Navara, V. Hlavac. Sequential Coordinate-wise Algorithm for Non-negative Least Squares Problem. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2005. (PDF,BibTex)

2004

V. Franc, V. Hlavac. Statistical Pattern Recognition Toolbox for {Matlab}. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2004. (PDF,BibTex)

2003

D. DeRidder, V. Franc. Rubust subspace mixture models using \(t\)-distributions. In Proc. of the British Machine Vision Conference (BMVC), 2003. (BibTex)

D. DeRidder, V. Franc. Robust Manifold Learning. Reserach report, Center for Machine Perception, K13133 FEE Czech Technical University, 2003. (PDF,BibTex)

V. Franc, V. Hlavac. Greedy Algorithm for a Training Set Reduction in the Kernel Methods. In Computer Analysis of Images and Patterns (CAIP), 2003. (PDF,BibTex)

V. Franc, V. Hlavac. Training Set Approximation for Kernel Methods. In Proc. of the Computer Vision Winter Workshop (CVWW), 2003. (PDF,BibTex)

V. Franc, V. Hlavac. An iterative algorithm learning the maximal margin classifier. Pattern recognition, 2003. (PDF,BibTex)

2002

V. Franc, V. Hlavac, M. Navara. Global convergence of the EM algorithm for a conditionally independent statistical model and two hidden states. Reserach report, Center for Machine Perception, K333 FEE Czech Technical University, 2002. (BibTex)

V. Franc, V. Hlavac. Kernel representation of the Kesler construction for Multi-class {SVM} classification. In Proc. of the Computer Vision Winter Workshop (CVWW), 2002. (PDF,BibTex)

V. Franc, J. Matas. An extension of the component-based LDA descriptor by the Generalized Discriminant Analysis. Reserach report, ISO/IEC JTC 1/SC 29/WG 11 Moving Picture Experts Group, 2002. (BibTex)

V. Franc, V. Hlavac. Multi-class {S}upport {V}ector {M}achine. In Proc. of the International Conference on Pattern Recognition (ICPR), 2002. (PDF,BibTex)

2001

V. Franc, V. Hlavac. A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians. In Proc of. the International Conference on Computer Analysis of Images and Patterns (CAIP), 2001. (PDF,BibTex) BEST STUDENT PAPER

V. Franc, V. Hlavac. A Simple Learning Algorithm for Maximal Margin Classifier. In Proc. of Kernel and Subspace Methods for Computer Vision Workshop, 2001. (PDF,BibTex)

V. Franc, V. Hlavac. A new feature of the Statistical Pattern Recognition Toolbox. In Computer Vision, Computer Graphics and Photogrammetry -- a Common Viewpoint, 2001. (PDF,BibTex)

V. Franc, V. Hlavac. A new feature of the Statistical Pattern Recognition Toolbox. Telematik, 2001. (BibTex)

2000

V. Franc, V. Hlavac, M. Schlesinger. Linear and quadratic classification toollbox for Matlab. In Proc. of the Czech Pattern Recognition Workshop, 2000. (PDF,BibTex)

V. Franc. Programove nastroje pro rozpoznavani (Pattern Recognition Programming Tools, In Czech). MSc thesis, Center for Machine Perception, K13133 FEE Czech Technical University, 2000. (PDF,BibTex)

1998

J. Fojtik, J. Cada, J. Dostal, V. Franc, L. Rothkrantz, V. Hlavac. Profile {F}ace {A}nalysis {B}ased on {E}dge {D}etection. Reserach report, TU Delft, 1998. (BibTex)