List of publications by Vojtech Franc
2014
- K.Antoniuk, V. Franc, V.Hlavac:
Interval Insensitive Loss for Ordinal Classification
Asian Conference on Machine Learning. 2014.
[pdf]
- V.Franc.
FASOLE. Fast Algorithm for Structured Output LEarning.
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 2014.
[pdf
- J. Cech, V. Franc, J.Matas:
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking.
International Confernece on Pattern Recognition (ICPR). 2014.
[pdf]
2013
- H. Cevikalp, B. Triggs, V. Franc:
Face and Landmark Detection by Using Cascade of Classifiers.
Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on.
[pdf]
- A. Antoniukm, V. Franc, V. Hlavac.
MORD: Multi-class Classifier for Ordinal Regression.
Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2013.
[pdf]
- M. Uricar; V. Franc; V. Hlavac:
Facial Landmarks Detector Learned by the Structured Output SVM.
Lecture Notes in Computer Science.
[pdf]
-
M. Uricar; V. Franc; V. Hlavac:
Bundle Methods for Structured Output Learning --- Back to the Roots.
SCIA 2013: Proceedings of the 18th Scandinavian Conference on Image
Analysis.
[pdf]
- 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
- R. Sara, M. Matousek, V. Franc.
RANSACing Optical Image Sequences for GEO and near-GEO Objects.
Advanced Maui Optical and Space Surveillance Technologies Conference. 2013.
[pdf]
2012
- V Franc, S Sonnenburg, T Werner.
Cutting Plane Methods in Machine Learning. Optimization for Machine
Learning, MIT Press,
2012. [pdf]
- M.Uricar, V. Franc and V. Hlavac:
Detector of Facial Landmarks Learned by the Structured Output SVM.
The International Conference on Computer Vision Theory and Applications (VISAPP).
February, 2012. THE BEST STUDENT PAPER AWARD.
[pdf]
- M. Uricar, V. Franc:
Efficient Algorithm for Regularized Risk Minimization.
CVWW '12: Proceedings of the 17th Computer Vision Winter Workshop.
[pdf]
- M. Uricar, V. Franc:
Bundle Method for Structured Output Learning.
Research Report K333--46/12, CTU--CMP--2012--20.
[pdf]
- K. Antoniuk, V. Franc, V. Hlavac:
Learning Markov Networks by Analytic Center Cutting Plane Method.
ICPR '12: Proceedings of 21st International Conference on Pattern Recognition.
[pdf]
-
V. Franc, K. Antoniuk, M. Uricar:
Discriminative structured output learning from partially annotated
examples.
Research Report CTU--CMP--2012--16, Center for Machine Perception, K13133 FEE
Czech Technical University.
[pdf]
2011
- 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]
2010
- 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:
Algoritmus pro minimalizaci regularizovaneho rizik.
Analyza dat 2010/II, Statisticke metody pro technologii a vyzkum.
[pdf]
2009
- 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]
-
S. Sonnenburg, V. Franc:
COFFIN: A Computational Framework for Linear SVMs.
Research Report CTU--CMP--2009--23.
[pdf]
2008
- 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].
-
J. Rathousky, M. Urban, V. Franc:
Recognition of Text with Known Geometric and Grammatical Structure.
3rd International Conference on Computer Vision Theory and Applications
(VISAPP).
[pdf]
2006
-
V. Franc, V. Hlavac:
A Novel Algorithm for Learning Support Vector Machines with Structured
Output Spaces.
Research Report K333--22/06, CTU--CMP--2006--04.
[pdf]
-
V. Franc, V.Hlavac:
Greedy Kernel Principal Component Analysis.
Cognitive Vision Systems, Dagstuhl Castle, Germany.
2005
-
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:
Simple Solvers for Large Quadratic Programming Tasks.
DAGM 2005: Proceedings of the 27th DAGM Symposium.
[pdf]
-
V. Franc, V. Hlavac:
License Plate Character Segmentation Usint Hidden Markov Chains.
DAGM 2005: Proceedings of the 27th DAGM Symposium.
[pdf]
-
V. Franc, V. Hlavac, M. Navara:
Sequential Coordinate-Wise Algorithm for the Non-negative Least Squares
Problem.
CAIP 2005: Computer Analysis of Images and Patterns.
[pdf]
2004
-
V. Franc, V. Hlavac:
Statistical Pattern Recognition Toolbox for Matlab.
Research Report CTU--CMP--2004--08.
[pdf]
2003
-
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:
Training Set Approximation for Kernel Methods.
Proceedings of CVWW'03.
[pdf]
-
V. Franc, V. Hlavac, M. Navara:
Convergence of the Expectation Maximization Algorithm for the
Conditionally Independent Model to the Global Maximum.
Proceedings of Workshop 2003.
-
K. Hanton, V. Smutny, V. Franc, V. Hlavac:
Alignment Of Sewerage Inspection Videos for Their Easier Indexing.
Third International Conference on Vision Systems.
[pdf]
-
V. Franc, V. Hlavac:
Greedy Algorithm for a Training Set Reduction in the Kernel Methods.
Computer Analysis of Images and Patterns.
[pdf]
-
D. De Ridder, V. Franc:
Robust subspace mixture models using $t$-distributions.
Proceedings of the 14th British Machine Vision Conference.
[pdf]
-
D. De Ridder, V. Franc:
Robust Manifold Learning.
Research Report CTU--CMP--2003--08.
[pdf]
2002
-
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].
-
V. Franc, V. Hlavac:
Kernel representation of the Kesler construction for Multi-class SVM
classification.
Proceedings of the CVWW'02.
[pdf]
-
V. Franc, V. Hlavac, M. Navara:
Global convergence of the EM algorithm for a conditionally independent
statistical model and two hidden states.
Research Report CTU--CMP--2002--10.
-
V. Franc, J. Matas:
An extension of the component-based LDA descriptor by the Generalized
Discriminant Analysis.
Research Report ISO-IEC-JTC1-SC29WG11-MPEG-8727. Moving Picture Experts Group.
2001
-
V. Franc, V. Hlavac:
A new feature of the Statistical Pattern Recognition Toolbox.
Computer Vision, Computer Graphics and Photogrammetry -- a Common
Viewpoint.
[pdf]
-
V. Franc, V. Hlavac:
A Contribution to the Schlesinger's Algorithm Separating Mixtures of
Gaussians.
Computer Analysis of Images and Patterns.
THE BEST STUDENT PAPER AWARD.
[pdf]
-
V. Franc, V. Hlavac:
A Simple Learning Algorithm for Maximal Margin Classifier.
Kernel and Subspace Methods for Computer Vision, ICANN Workshop.
[pdf]
-
V. Franc, V. Hlavac:
A new feature of the Statistical Pattern Recognition Toolbox.
Telematik.
2000
-
V. Franc, V. Hlavac, M.I. Schlesinger:
Linear and quadratic classification toollbox for Matlab.
Proceedings of the Czech Pattern Recognition Workshop.
[pdf]