13000 / 13133 - Publications - 2017

13000 / 13133 - Department of Cybernetics

Publications 2017

Papers in WoS Journals

ANÝŽ, J., et al. Spatial mapping of metals in tissue-sections using combination of mass-spectrometry and histology through image registration. Scientific Reports. 2017, 7 ISSN 2045-2322. DOI 10.1038/srep40169. Available from: http://www.nature.com/articles/srep40169

JEŽEK, F., et al. Lumped models of the cardiovascular system of various complexity. Biocybernetics and Biomedical Engineering. 2017, 37(4), 666-678. ISSN 0208-5216. DOI 10.1016/j.bbe.2017.08.001.

GABRIËLS, J. Conditional associativity in orthomodular lattices. Mathematica Slovaca. 2017, 67(3), 573-584. ISSN 0139-9918. DOI 10.1515/ms-2016-0291.

GERLA, V., et al. Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness. Biomedical Signal Processing and Control. 2017, 31 381-390. ISSN 1746-8094. DOI 10.1016/j.bspc.2016.09.006.

SASKA, M., et al. System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using onboard visual relative localization. Autonomous Robots. 2017, 41(4), 919-944. ISSN 0929-5593. DOI 10.1007/s10514-016-9567-z.

HLINKA, J., et al. Small-world bias of correlation networks: from brain to climate. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2017, 27(3), ISSN 1054-1500. DOI 10.1063/1.4977951.

VONDRA, T., J. ŠEDIVÝ, and J.M. CASTRO. Modifying CloudSim to accurately simulate interactive services for cloud autoscaling. Concurrency and Computation: Practice and Experience. 2017, Volume 29(Issue 10), ISSN 1532-0626. DOI 10.1002/cpe.3983.

VONDRA, T. and J. ŠEDIVÝ. Cloud autoscaling simulation based on queueing network model. Simulation Modelling Practice and Theory. 2017, Volume 70 83-100. ISSN 1569-190X. DOI 10.1016/j.simpat.2016.10.005.

PECKA, M., et al. Controlling Robot Morphology From Incomplete Measurements. IEEE Transactions on Industrial Electronics. 2017, 64(2), 1773-1782. ISSN 0278-0046. DOI 10.1109/TIE.2016.2580125.

GABRIËLS, J., S.M. GAGOLA III, and M. NAVARA. Sasaki projections. Algebra universalis. 2017, 77(3), 305-320. ISSN 0002-5240. DOI 10.1007/s00012-017-0428-1.

Papers in Other Journals

HRACHOVINA, M. and L. LHOTSKÁ. Detection of unrecoverable noise segments in BSPM. International Journal on Biomedicine and Healthcare. 2017, 5(1), 45-48. ISSN 1805-8698. Available from: http://www.ijbh.org/ijbh2017-1.pdf

DANIEL, M., et al. Biomechanical analysis of INFINITY rehabilitation method for treatment of low back pain. Journal of Physical Therapy Science. 2017, 29(5), 832-838. ISSN 0915-5287. DOI 10.1589/jpts.29.832.

PĚNIČKA, R., et al. Dubins Orienteering Problem. IEEE Robotics and Automation Letters. 2017, 2(2), 1210-1217. ISSN 2377-3766. DOI 10.1109/LRA.2017.2666261. Available from: http://ieeexplore.ieee.org/document/7847413/

Conference Proceedings

KUDLÁČEK, J., et al. Long-term fluctuations in seizure probability in tetanus toxin model of epilepsy. In: The Eleventh Conference of the Czech Neuroscience Society. Praha, 2017-11-28/2017-11-29. Praha: Czech Neuroscience Society, 2017.

SAIFUTDINOVA, E., et al. Spatial geometric analysis in sleep polysomnographic data. In: 64. SPOLEČNÝ SJEZD ČESKÉ A SLOVENSKÉ SPOLEČNOSTI PRO KLINICKOU NEUROFYZIOLOGII. Clarion Congress Hotel, České Budějovice, 2017-09-26/2017-09-27. Prague: ČLS JEP, 2017.

GABRIËLS, J., S GAGOLA III, and M. NAVARA. Sasaki projections and related operations. In: Topology, Algebra and Categories in Logic 2017. Topology, Algebra, and Categories in Logic 2017, Prague, 2017-06-26/2017-06-30. Praha: Institute of Computer Science AS CR, 2017. p. 30-31.

HRACHOVINA, M. and L. LHOTSKÁ. Input Data Quality: A Case Study in BSPM. In: Trendy v biomedicínském inženýrství 2017. Horní Lomná, 2017-09-25/2017-09-27. Ostrava: VŠB-TUO, 2017. ISBN 978-80-248-4099-4.

GERLA, V., et al. Comparison of Short-time Fourier Transform and Continuous Wavelet Transform for frequency analysis of sleep EEG. In: 64. SPOLEČNÝ SJEZD ČESKÉ A SLOVENSKÉ SPOLEČNOSTI PRO KLINICKOU NEUROFYZIOLOGII. Clarion Congress Hotel, České Budějovice, 2017-09-26/2017-09-27. Prague: ČLS JEP, 2017.

HADRAVA, M. and J. HLINKA. Music gone crazy: neural oscillators to the rescue?. In: 26th Annual Computational Neuroscience Meeting (CNS*2017). 26th Annual Computational Neuroscience Meeting, Antwerpen, 2017-07-15/2017-07-20. Grandville: Organization for Computational Neurosciences, 2017. BMC Neuroscience Supplements. ISSN 1471-2202. DOI 10.1186/s12868-017-0371-2. Available from: https://bmcneurosci.biomedcentral.com/articles/10.1186/s12868-017-0371-2

ABOU KHASHABH, I., V. CHUDÁČEK, and M. HUPTYCH. Statistical Analysis of Perinatal Risk Factors for Emergency Caesarean Section. In: BURŠA, M., et al., eds. Information Technology in Bio- and Medical Informatics. 8th International Conference, ITBAM 2017, Lyon, 2017-08-28/2017-08-31. Cham: Springer International Publishing, 2017. p. 20-29. vol. 10443. ISSN 0302-9743. ISBN 978-3-319-64264-2. DOI 10.1007/978-3-319-64265-9_3.

PICHL, J. Alquist: An Open-Domain Dialogue System. In: Proceedings of the International Student Scientific Conference Poster – 21/2017. Poster 2017, Praha, 2017-05-23. Praha: Czech Technical University in Prague, 2017. ISBN 978-80-01-06153-4.

ALBL, Č., et al. On the Two-View Geometry of Unsynchronized Cameras. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-07-26. IEEE Computer Society Press, 2017. p. 5593-5602. ISSN 1063-6919. ISBN 978-1-5386-0457-1. DOI 10.1109/CVPR.2017.593.

ROZUMNYI, D., et al. The World of Fast Moving Objects. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-07-26. IEEE Computer Society Press, 2017. p. 4838-4846. ISSN 1063-6919. ISBN 978-1-5386-0457-1. DOI 10.1109/CVPR.2017.514.

KUDLÁČEK, J., et al. Changes in microseizure properties anticipate seizure clusters in tetanus toxin model of temporal lobe epilepsy. In: 32nd International Congress on Epilepsy - Barcelona. 32nd International Epilepsy Congress, Barcelona, 2017-09-02/2017-09-06. The International League Against Epilepsy, 2017.

SAIFUTDINOVA, E., et al. Spatial geometric analysis of sleep PSG. In: 64. SPOLEČNÝ SJEZD ČESKÉ A SLOVENSKÉ SPOLEČNOSTI PRO KLINICKOU NEUROFYZIOLOGII. Clarion Congress Hotel, České Budějovice, 2017-09-26/2017-09-27. Prague: ČLS JEP, 2017.

SAITI, K., et al. A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas. In: BURŠA, M., et al., eds. Information Technology in Bio- and Medical Informatics. 8th International Conference, ITBAM 2017, Lyon, 2017-08-28/2017-08-31. Cham: Springer International Publishing, 2017. p. 66-81. vol. 10443. ISSN 0302-9743. ISBN 978-3-319-64264-2. DOI 10.1007/978-3-319-64265-9_6.

DVOŘÁK, O., R. PERGL, and P. KROHA. Tackling the Flexibility-Usability Trade-off in Component-Based Software Development. In: Recent Advances in Information Systems and Technologies. WorldCist'17 - 5th World Conference on Information Systems and Technologies, Porto Santo, 2017-04-11/2017-04-13. Berlin: Springer-Verlag, 2017. p. 861-871. ISSN 2194-5365. ISBN 978-3-319-56535-4. DOI 10.1007/978-3-319-56535-4_84. Available from: https://link.springer.com/chapter/10.1007%2F978-3-319-56535-4_84

ŠPETLÍK, R., et al. Visual Language Identification from Facial Landmarks. In: SHARMA, P. and F.M. BIANCHI, eds. Image Analysis, Part II. 20th Scandinavian Conference, SCIA 2017, Tromsø,, Tromso, 2017-06-12/2017-06-14. Springer, Cham, 2017. p. 389-400. Lecture Notes in Computer Science. vol. 10270. ISSN 0302-9743. ISBN 978-3-319-59128-5. DOI 10.1007/978-3-319-59129-2_33.

PICHL, J., et al. Alquist: The Alexa Prize Socialbot. In: 1st Proceedings of Alexa Prize. AWS re:Invent 2017, Las Vegas, NV, 2017-11-27/2017-12-01. Amazon, 2017.

SAITI, K., et al. Predicting Blood Glucose Levels for a Type I Diabetes Patient by Combination of Autoregressive with One Compartment Open Model. In: IFMBE Proceedings. Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, 2017-06-11/2017-11-15. Springer Nature Singapore Pte Ltd., 2017. p. 771-774. vol. 65. ISSN 1680-0737. ISBN 978-981-10-5121-0. DOI 10.1007/978-981-10-5122-7_193.

MACAŠ, M., et al. Particle swarm optimization based adaptable predictor of glycemia values. In: Cybernetics (CYBCONF), 2017 3rd IEEE International Conference on. 3rd IEEE International Conference on Cybernetics, Exeter, 2017-06-21/2017-06-23. Piscataway: Institute of Electrical and Electronic Engineers, 2017. ISBN 978-1-5386-2201-8. DOI 10.1109/CYBConf.2017.7985799. Available from: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7985799

NEORAL, M. and J. ŠOCHMAN. Object Scene Flow with Temporal Consistency. In: KROPATSCH, W, I JANUSCH, and N ARTNER, eds. Proceedings of the 22nd Computer Vision Winter Workshop. CVWW 2017: COMPUTER VISION WINTER WORKSHOP, Retz, 2017-02-06/2017-02-08. Wien: Pattern Recognition & Image Processing Group, Vienna University of Technology, 2017. ISBN 978-3-200-04969-7.

ŠTĚPÁNOVÁ, K., et al. Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping. In: Kognice a umělý život XVII [Cognition and Artificial Life XVII]. Kognice a Umělý život XVII, Trenčianské Teplice, 2017-05-31/2017-06-02. Bratislava: Comenius University Bratislava, 2017. p. 155-162. ISBN 978-80-223-4346-6.

SAIFUTDINOVA, E., V. GERLA, and L. LHOTSKÁ. Riemannian Geometry in Sleep Stage Classication. In: BURŠA, M., et al., eds. Information Technology in Bio- and Medical Informatics. 8th International Conference, ITBAM 2017, Lyon, 2017-08-28/2017-08-31. Cham: Springer International Publishing, 2017. p. 92-99. vol. 10443. ISSN 0302-9743. ISBN 978-3-319-64264-2. DOI 10.1007/978-3-319-64265-9_8.

BRESLER, M., D. PRŮŠA, and V. HLAVÁČ. Recognizing Off-Line Flowcharts by Reconstructing Strokes and Using On-Line Recognition Techniques. In: Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition. ICFHR 2016: 15th International Conference on Frontiers in Handwriting Recognition, Shenzhen, 2016-10-23/2016-10-26. Los Alamitos: IEEE Computer Society, 2017. p. 48-53. ISSN 2167-6445. ISBN 978-1-5090-0981-7. DOI 10.1109/ICFHR.2016.0022. Available from: ftp://cmp.felk.cvut.cz/pub/cmp/articles/prusa/Bresler-Prusa-Hlavac-ICFHR2016.pdf

SASKA, M., et al. Vision-based high-speed autonomous landing and cooperative objects grasping - towards the MBZIRC competition. In: Vision-based High Speed Autonomous Navigation of UAVs. Vision-based High Speed Autonomous Navigation of UAVs, Workshop at IROS 2016, Daejeon, 2017-10-14. Piscataway, NJ: IEEE, 2017.

KUDLÁČEK, J., et al. Před vznikem shluků záchvatů dochází ke změnám parametrů mikrozáchvatů v tetanotoxinovém modelu epilepsie temporálního laloku. In: 31. český a slovenský neurologický sjezd, 29. česko-slovenský epileptologický sjezd. Brno, 2017-11-22/2017-11-25. Praha: Česká lékařská společnost J. E. Purkyně, 2017. ISSN 1802-4041.

NAVARA, M. and J. ŠINDELÁŘ. The role of information in the two envelope problem. In: ITAT 2017: Information Technologies – Applications and Theory. Martinské hole, Malá Fatra, 2017-09-22/2017-09-26. Aachen: CEUR Workshop Proceedings, 2017. p. 112-119. vol. 1885. ISBN 9781974274741.

PECKA, M., K. ZIMMERMANN, and T. SVOBODA. Fast Simulation of Vehicles with Non-deformable Tracks. In: Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on. IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, 2017-09-24/2017-09-28. Piscataway: IEEE, 2017. p. 6414-6419. ISSN 2153-0866. ISBN 978-1-5386-2682-5. DOI 10.1109/IROS.2017.8206546. Available from: http://cmp.felk.cvut.cz/~peckama2/simulation_quality/

KOSTOV, B., J. AHMAD, and P. KŘEMEN. Towards Ontology-Based Safety Information Management in the Aviation Industry. In: CIUCIU, I., et al., eds. On the Move to Meaningful Internet Systems: OTM 2016 Workshops. Meta4eS, Rhodes, 2016-10-24. Cham: Springer International Publishing, 2017. p. 242-251. ISSN 1611-3349. ISBN 978-3-319-55960-5. DOI 10.1007/978-3-319-55961-2_25. Available from: https://link.springer.com/chapter/10.1007/978-3-319-55961-2_25

BOROVEC, J. and J. KYBIC. Binary pattern dictionary learning for gene expression representation in drosophila imaginal discs. In: Computer Vision – ACCV 2016 Workshops. 13th Asian Conference on Computer Vision, Taipei, Taiwan, 2016-11-20/2016-11-24. Cham: Springer International Publishing, 2017. p. 555-569. Lecture Notes in Computer Science. vol. 10117. ISSN 0302-9743. ISBN 978-3-319-54426-7. DOI 10.1007/978-3-319-54427-4_40.

Dissertations

NOVÁK, P. Design and Integration of Simulation Models for Industrial Systems. Praha: Defense date 2017-03-09. PhD Thesis. ČVUT FEL, Katedra kybernetiky. Supervised by R. ŠINDELÁŘ.

ŠTĚPÁNOVÁ, K. Hierarchical probabilistic model of language acquisition. Praha: Defense date 2017-06-16. PhD Thesis. ČVUT FEL, Katedra kybernetiky. Supervised by L. LHOTSKÁ and M. VAVREČKA.

GRONÁT, P. Place Recognition by Per-Location Classifiers. Praha: Defense date 2017-10-30. PhD Thesis. ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Supervised by J. ŠIVIC and T. PAJDLA.

13133 / 13162 - Visual Recognition Group

Publications 2017

Papers in WoS Journals

MISHKIN, D., N. SERGIEVSKIY, and J. MATAS. Systematic Evaluation of Convolution Neural Network Advances on the ImageNet. Computer Vision and Image Understanding. 2017, 161 11-19. ISSN 1077-3142. DOI 10.1016/j.cviu.2017.05.007.

ŠULC, M. and J. MATAS. Fine-grained recognition of plants from images. Plant Methods. 2017, 13(1), ISSN 1746-4811. DOI 10.1186/s13007-017-0265-4. Available from: https://plantmethods.biomedcentral.com/articles/10.1186/s13007-017-0265-4

CHUM, O. Optimizing explicit feature maps on intervals. Image and Vision Computing. 2017, 66 36-47. ISSN 0262-8856. DOI 10.1016/j.imavis.2017.07.001.

Conference Proceedings

ISCEN, A., et al. Panorama to panorama matching for location recognition. In: ICMR '17 Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval, Bucharest, 2017-06-06/2017-06-09. New York: ACM, 2017. p. 392-396. ISBN 978-1-4503-4701-3. DOI 10.1145/3078971.3079033.

ŠULC, M. and J. MATAS. Learning with Noisy and Trusted Labels for Fine-Grained Plant Recognition. In: Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum. CLEF 2017: Conference and Labs of the Evaluation Forum, Dublin, 2017-09-11/2017-09-14. Aachen: CEUR Workshop Proceedings, 2017. vol. 1866. ISSN 1613-0073. Available from: http://ceur-ws.org/Vol-1866/paper_167.pdf

KÚKELOVÁ, Z., et al. A clever elimination strategy for efficient minimal solvers. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-07-26. IEEE Computer Society Press, 2017. p. 3605-3614. ISSN 1063-6919. ISBN 978-1-5386-0457-1. DOI 10.1109/CVPR.2017.384.

TOLIAS, G. and O. CHUM. Asymmetric Feature Maps with Application to Sketch Based Retrieval. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-07-26. IEEE Computer Society Press, 2017. p. 6185-6193. ISSN 1063-6919. ISBN 978-1-5386-0457-1. DOI 10.1109/CVPR.2017.655.

KRISTAN, M., et al. The Visual Object Tracking VOT2017 challenge results. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW 2017). IEEE International Conference on Computer Vision, Venice, 2017-10-22/2017-10-29. Piscataway, NJ: IEEE, 2017. p. 1949-1972. ISSN 2473-9944. ISBN 978-1-5386-1034-3. DOI 10.1109/ICCVW.2017.230.

LUKEŽIC, A.L., et al. Discriminative Correlation Filter with Channel and Spatial Reliability. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-07-26. IEEE Computer Society Press, 2017. p. 4847-4856. ISSN 1063-6919. ISBN 978-1-5386-0457-1. DOI 10.1109/CVPR.2017.515.

QIAN, Y., et al. Deep structured-output regression learning for computational color constancy. In: 2016 23rd International Conference on Pattern Recognition (ICPR). 2016 23rd International Conference on Pattern Recognition, Cancun, 2016-12-04/2016-12-08. Institute of Electrical and Electronics Engineers, 2017. p. 1899-1904. ISSN 1051-4651. ISBN 978-1-5090-4847-2. DOI 10.1109/ICPR.2016.7899914.

MISHCHUK, A., et al. Working hard to know your neighbor's margins: Local descriptor learning loss. In: Advances in Neural Information Processing Systems 30. Neural Information Processing Systems, LONG BEACH, 2017-12-04/2017-12-09. Neural Information Processing Systems (NIPS) Foundation, 2017. p. 4827-4838. vol. 30. ISSN 1049-5258. Available from: http://papers.nips.cc/paper/7068-working-hard-to-know-your-neighbors-margins-local-descriptor-learning-loss

MUKUNDAN, A., G. TOLIAS, and O. CHUM. Robust data whitening as an iteratively re-weighted least squares problem. In: SHARMA, P. and F. M. BIANCHI, eds. Image Analysis. 20th Scandinavian Conference, SCIA 2017, Tromsø,, Tromso, 2017-06-12/2017-06-14. Cham: Springer International Publishing, 2017. p. 234-247. Lecture Notes in Computer Science. vol. 10269. ISSN 0302-9743. ISBN 978-3-319-59125-4. DOI 10.1007/978-3-319-59126-1_20.

BUŠTA, M., L. NEUMANN, and J. MATAS. Deep TextSpotter: An End-to-End Trainable Scene Text Localization and Recognition Framework. In: 2017 IEEE International Conference on Computer Vision (ICCV 2017). IEEE International Conference on Computer Vision, Venice, 2017-10-22/2017-10-29. Piscataway: IEEE, 2017. p. 2223-2231. ISSN 1550-5499. ISBN 978-1-5386-1032-9. DOI 10.1109/ICCV.2017.242.

ALDANA IUIT, J., et al. In the Saddle: Chasing fast and repeatable features. In: 2016 23rd International Conference on Pattern Recognition (ICPR). 2016 23rd International Conference on Pattern Recognition, Cancun, 2016-12-04/2016-12-08. Institute of Electrical and Electronics Engineers, 2017. p. 675-680. ISSN 1051-4651. ISBN 978-1-5090-4847-2. DOI 10.1109/ICPR.2016.7899712.

ŠMÍD, M. and J. MATAS. Rolling Shutter Camera Synchronization with Sub-millisecond Accuracy. In: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Porto, 2017-02-27/2017-03-01. Madeira: SciTePress, 2017. p. 238-245. vol. 4. ISBN 978-989-758-225-7. DOI 10.5220/0006175402380245. Available from: http://cmp.felk.cvut.cz/~smidm/rolling-shutter-camera-synchronization-with-sub-millisecond-accuracy.html

HODAŇ, T., et al. T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV). 17th IEEE Winter Conference on Applications of Computer Vision, Santa Rosa, 2017-03-24/2017-03-31. New Jersey: IEEE, 2017. p. 880-888. ISSN 2472-6737. ISBN 978-1-5090-4822-9. DOI 10.1109/WACV.2017.103.

MUKUNDAN, A., G. TOLIAS, and O. CHUM. Multiple-Kernel Local-Patch Descriptor. In: 28th British Machine Vision Conference 2017 Proceedings. British Machine Vision Conference 2017, London, 2017-09-04/2017-09-07. British Machine Vision Association, 2017. ISBN 978-1-901725-60-5. DOI 10.5244/C.31.184.

MUSTANIEMI, J., et al. Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices. In: Intelligent Robots and Systems (IROS), 2017 IEEE/RSJ International Conference on. IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, 2017-09-24/2017-09-28. Piscataway: IEEE, 2017. p. 4394-4401. ISSN 2153-0866. ISBN 978-1-5386-2682-5. DOI 10.1109/IROS.2017.8206303.

MUNDA, G., et al. Scalable full flow with learned binary descriptors. In: VETTER, T. and V. ROTH, eds. 39th German Conference on Pattern Recognition. Basel, 2017-09-12/2017-09-15. Springer, Cham, 2017. p. 321-332. Lecture Notes in Computer Science. vol. 10496. ISSN 0302-9743. ISBN 978-3-319-66708-9. DOI 10.1007/978-3-319-66709-6_26.

QIAN, Y., et al. Recurrent Color Constancy. In: 2017 IEEE International Conference on Computer Vision (ICCV 2017). IEEE International Conference on Computer Vision, Venice, 2017-10-22/2017-10-29. Piscataway: IEEE, 2017. p. 5459-5467. ISSN 1550-5499. ISBN 978-1-5386-1032-9. DOI 10.1109/ICCV.2017.582.

ISCEN, A., et al. Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. In: CVPR 2017: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition 2017, Honolulu, 2017-07-21/2017-07-26. IEEE Computer Society Press, 2017. p. 926-935. ISSN 1063-6919. ISBN 978-1-5386-0457-1. DOI 10.1109/CVPR.2017.105.

HUSÁK, P., J. ČECH, and J. MATAS. Spotting Facial Micro-Expressions “In the Wild”. In: KROPATSCH, W, I JANUSCH, and N ARTNER, eds. Proceedings of the 22nd Computer Vision Winter Workshop. CVWW 2017: COMPUTER VISION WINTER WORKSHOP, Retz, 2017-02-06/2017-02-08. Wien: Pattern Recognition & Image Processing Group, Vienna University of Technology, 2017. ISBN 978-3-200-04969-7. Available from: http://cvww2017.prip.tuwien.ac.at/papers/CVWW2017_paper_17.pdf

LARSSON, V., Z. KÚKELOVÁ, and Y. ZHENG. Making Minimal Solvers for Absolute Pose Estimation Compact and Robust. In: 2017 IEEE International Conference on Computer Vision (ICCV 2017). IEEE International Conference on Computer Vision, Venice, 2017-10-22/2017-10-29. Piscataway: IEEE, 2017. p. 2335-2343. ISSN 1550-5499. ISBN 978-1-5386-1032-9. DOI 10.1109/ICCV.2017.254.

GALUŠČÁKOVÁ, P, et al. Visual Descriptors in Methods for Video Hyperlinking. In: ICMR '17 Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval, Bucharest, 2017-06-06/2017-06-09. New York: ACM, 2017. p. 294-300. ISBN 978-1-4503-4701-3. DOI 10.1145/3078971.3079026.

FRANC, V. and J. ČECH. Learning CNNs for face recognition from weakly annotated images. In: International Conference on Automatic Face and Gesture Recognition Workshops, Biometrics in the Wild. The 12th IEEE International Conference on Automatic Face and Gesture Recognition, Washington DC, 2017-05-30/2017-06-03. USA: IEEE Computer Society, 2017. p. 933-940. ISSN 2326-5396. ISBN 978-1-5090-4023-0. DOI 10.1109/FG.2017.115. Available from: ftp://cmp.felk.cvut.cz/pub/cmp/articles/franc/Franc-EMSVM-FG2017.pdf

Dissertations

NEUMANN, L. Scene text localization and recognition in images and videos. Praha: Defense date 2017-11-24. PhD Thesis. ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Supervised by J. MATAS.

Research Reports

MISHCHUK, A., et al. Working hard to know your neighbor's margins: Local descriptor learning loss. [Research Report] ArXiv, 2017.

VOJÍŘ, T. and J. MATAS. Pixel-Wise Object Segmentations for the {VOT} 2016 Dataset. [Research Report] Praha: ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání, 2017. Report no. CTU--CMP--2017--01. ISSN 1213-2365.

RADENOVIĆ, F., G. TOLIAS, and O. CHUM. Deep Shape Matching. [Research Report] ArXiv, 2017. Report no. arXiv:1709.03409.

KUPYN, O., et al. DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. [Research Report] ArXiv, 2017.

MISHKIN, D., F. RADENOVIĆ, and J. MATAS. Repeatability Is Not Enough: Learning Affine Regions via Discriminability. [Research Report] ArXiv, 2017.

RADENOVIĆ, F., G. TOLIAS, and O. CHUM. Fine-tuning CNN Image Retrieval with No Human Annotation. [Research Report] ArXiv, 2017. Report no. arXiv:1711.02512.

ISCEN, A., et al. Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. [Research Report] ArXiv, 2017. Report no. arXiv:1611.05113.

13133 / 13163 - Biomedical imaging algorithms

Publications 2017

Papers in WoS Journals

OLVERES, J., et al. Left ventricle Hermite-based segmentation. Computers in Biology and Medicine. 2017, 87 236-249. ISSN 0010-4825. DOI 10.1016/j.compbiomed.2017.05.025.

BOROVEC, J., et al. Supervised and unsupervised segmentation using superpixels, model estimation, and Graph Cut. Journal of Electronic Imaging. 2017, 26(6), ISSN 1017-9909. DOI 10.1117/1.JEI.26.6.061610.

PINHEIRO, M.A., J. KYBIC, and P. FUA. Geometric Graph Matching Using Monte Carlo Tree Search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017, 39(11), 2171-2185. ISSN 0162-8828. DOI 10.1109/TPAMI.2016.2636200.

BOROVEC, J., J. KYBIC, and A. SUGIMOTO. Region growing using superpixels with learned shape prior. Journal of Electronic Imaging. 2017, 26(6), ISSN 1017-9909. DOI 10.1117/1.JEI.26.6.061611.

Conference Proceedings

ŠVIHLÍK, J., et al. Langerhans islet volume estimation from 3D optical projection tomography. In: Computer Vision – ACCV 2016 Workshops. 13th Asian Conference on Computer Vision, Taipei, Taiwan, 2016-11-20/2016-11-24. Cham: Springer International Publishing, 2017. p. 583-594. Lecture Notes in Computer Science. vol. 10117. ISSN 0302-9743. ISBN 978-3-319-54426-7. DOI 10.1007/978-3-319-54427-4_42.

BOROVEC, J., J. KYBIC, and U. NAVA VELAZCO. Detection and Localization of Drosophila Egg Chambers in Microscopy Images. In: WANG, Q., et al., eds. 8th International Workshop on Machine Learning in Medical Imaging (with MICCAI 2017). 8th International Workshop on Machine Learning in Medical Imaging, Quebec City, 2017-09-10. Cham: Springer International Publishing, 2017. p. 19-26. Lecture Notes of Computer Science. vol. 10541. ISSN 0302-9743. ISBN 978-3-319-67388-2. DOI 10.1007/978-3-319-67389-9_3.

Dissertations

DOS SANTOS PINHEIRO, M. Graph and Point Cloud Matching for Image Registration. Praha: Defense date 2017-06-27. PhD Thesis. ČVUT FEL, Katedra kybernetiky. Supervised by J. KYBIC.

13133 / 13164 - Vision for Robotics and Autonomous Systems

Publications 2017

Papers in WoS Journals

MÜLLER, V.C. and M. HOFFMANN. What is morphological computation? On how the body contributes to cognition and control. Artificial Life. 2017, 23(1), 1-24. ISSN 1064-5462. DOI 10.1162/ARTL_a_00219.

PECKA, M., et al. Controlling Robot Morphology From Incomplete Measurements. IEEE Transactions on Industrial Electronics. 2017, 64(2), 1773-1782. ISSN 0278-0046. DOI 10.1109/TIE.2016.2580125.

PETŘÍČEK, T. and T. SVOBODA. Point cloud registration from local feature correspondences—Evaluation on challenging datasets. PLoS ONE. 2017, 12(11), ISSN 1932-6203. DOI 10.1371/journal.pone.0187943.

Conference Proceedings

KITAGAWA, M., I. SHIMIZU, and R. ŠÁRA. High accuracy local stereo matching using DoG scale map. In: Machine Vision Applications (MVA), 2017 15th IAPR International Conference on. 15th IAPR International Conference on Machine Vision Applications, Nagoya, 2017-05-08/2017-05-12. Piscataway: IEEE, 2017. p. 258-261. ISBN 978-4-901122-16-0. DOI 10.23919/MVA.2017.7986850.

FILIP, J., M AZKARANTE, and V GIANFRANCO. TRAJECTORY CONTROL FOR AUTONOMOUS PLANETARY ROVERS. In: ASTRA 2017. Noordwijk: European Space Agency, 2017.

ZIMMERMANN, K., et al. Learning for Active 3D Mapping. In: 2017 IEEE International Conference on Computer Vision (ICCV 2017). IEEE International Conference on Computer Vision, Venice, 2017-10-22/2017-10-29. Piscataway: IEEE, 2017. p. 1548-1556. ISSN 1550-5499. ISBN 978-1-5386-1032-9. DOI 10.1109/ICCV.2017.171.

HOFFMANN, M., et al. Development of reaching to the body in early infancy: From experiments to robotic models. In: Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2017 Joint IEEE International Conference on. Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Lisbon, 2017-09-18/2017-09-21. Piscataway, NJ: IEEE, 2017. p. 112-119. ISSN 2161-9484. ISBN 978-1-5386-3715-9. DOI 10.1109/DEVLRN.2017.8329795.

ŠÁRA, R. and V. CVRČEK. Faint Streak Detection with Certificate by Adaptive Two-Level Bayesian Inference. In: Proceedings of 7th European Conference on Space Debris. 7th European Conference on Space Debris, Darmstadt, 2017-04-18/2017-04-21. Darmstadt: ESA Space Debris Office, 2017.

STRAKA, Z. and M. HOFFMANN. Learning a Peripersonal Space Representation as a Visuo-Tactile Prediction Task. In: LINTAS, A., et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2017, Part I. 26th International Conference on Artificial Neural Networks, Alghero, 2017-09-11/2017-09-14. Springer, Cham, 2017. p. 101-109. Lecture Notes in Computer Science. vol. 10613. ISSN 0302-9743. ISBN 978-3-319-68599-1. DOI 10.1007/978-3-319-68600-4_13.

HOFFMANN, M. and V.C. MÜLLER. Simple or Complex Bodies? Trade-offs in Exploiting Body Morphology for Control. In: GIOVAGNOLI, R. and G. DODIG-CRNKOVIC, eds. Representation and Reality in Humans, Other Living Organisms and Intelligent Machines. REPRESENTATION AND REALITY: HUMANS, ANIMALS AND MACHINES AT AISB-50, London, 2014-04-01/2014-04-04. Springer, Cham, 2017. p. 335-345. Studies in Applied Philosophy, Epistemology and Rational Ethics. vol. 28. ISSN 2192-6255. ISBN 978-3-319-43782-8. DOI 10.1007/978-3-319-43784-2_17.

13133 / 13166 - Analysis and Interpretation of Biomedical Data

Publications 2017

Papers in WoS Journals

BONNET, C., et al. GABA spectra and remote distractor effect in progressive supranuclear palsy: A pilot study. Revue Neurologique. 2017, 173(4), 225-229. ISSN 0035-3787. DOI 10.1016/j.neurol.2017.03.007.

MACKŮ, D. and I. NOVOTNÁ. Patients above the age of 70 face unjustified discrimination in heart transplants. European Geriatric Medicine. 2017, Volume 8(Issues 5–6), 509-510. ISSN 1878-7649. DOI 10.1016/j.eurger.2017.07.020.

DUQUE, S.I., et al. Feature subset selection and classification of intracardiac electrograms during atrial fibrillation. Biomedical Signal Processing and Control. 2017, 38 182-190. ISSN 1746-8094. DOI 10.1016/j.bspc.2017.06.005.

BAKŠTEIN, E., et al. Methods for automatic detection of artifacts in microelectrode recordings. Journal of Neuroscience Methods. 2017, 290 39-51. ISSN 0165-0270. DOI 10.1016/j.jneumeth.2017.07.012.

SIEGER, T., et al. Interactive Dendrograms: The R Packages idendro and idendr0. Journal of Statistical Software. 2017, 76(10), 1-22. ISSN 1548-7660. DOI 10.18637/jss.v076.i10.

FIŠEROVÁ, J., et al. Chromatin organization at the nuclear periphery as revealed by image analysis of structured illumination microscopy data. Journal of Cell Science. 2017, 130(12), 2066-2077. ISSN 0021-9533. DOI 10.1242/jcs.198424.

Conference Proceedings

NOVÁK, P., P. KADERA, and E. WIMMER. Model-Based Engineering and Virtual Commissioning of Cyber-Physical Manufacturing Systems - Transportation System Case Study. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). The 22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, 2017-09-12/2017-09-15. Piscataway, NJ: IEEE, 2017. ISSN 1946-0759. ISBN 978-1-5090-6505-9. DOI 10.1109/ETFA.2017.8247743. Available from: http://ieeexplore.ieee.org/document/8247743/

NOVÁK, P., P. KADERA, and M. WIMMER. Agent-Based Modeling and Simulation of Hybrid Cyber-Physical Systems. In: 2017 3rd IEEE International Conference on Cybernetics (CYBCON 2017). Exeter, 2017-06-21/2017-06-23. IEEE (Institute of Electrical and Electronics Engineers), 2017. p. 175-182. vol. Volume 1. ISSN 2475-6113. ISBN 978-1-5386-2201-8. DOI 10.1109/CYBConf.2017.7985755.

KLEMPÍŘ, O., et al. Automatic Spike Sorting Procedure Based on the Detection of the Number of Pallidal Neurons from Microrecordings in Dystonia. In: 64. SPOLEČNÝ SJEZD ČESKÉ A SLOVENSKÉ SPOLEČNOSTI PRO KLINICKOU NEUROFYZIOLOGII. Clarion Congress Hotel, České Budějovice, 2017-09-26/2017-09-27. Prague: ČLS JEP, 2017.

WIMMER, M., et al. Cardinality-based variability modeling with AutomationML. In: 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). The 22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, 2017-09-12/2017-09-15. Piscataway, NJ: IEEE, 2017. ISSN 1946-0759. ISBN 978-1-5090-6505-9. DOI 10.1109/ETFA.2017.8247711. Available from: http://ieeexplore.ieee.org/document/8247711/

NOVÁK, P., F.J. EKAPUTRA, and S. BIFFL. Generation of Simulation Models in MATLAB-Simulink Based on AutomationML Plant Description. In: Proceedings of the IFAC 2017 World Congress. The 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017-07-09/2017-07-14. Kidlington Oxford OX GB: Elsevier, 2017. p. 7613-7620. ISSN 2405-8963. DOI 10.1016/j.ifacol.2017.08.1027. Available from: https://www.sciencedirect.com/science/article/pii/S2405896317315082

NOVÁK, P., M. WIMMER, and P. KADERA. Slicing simulation models into co-simulations. In: MAŘÍK, V., et al., eds. Industrial Applications of Holonic and Multi-Agent Systems. 8th International Conference, HoloMAS 2017, Lyon, France, August 28–30, 2017, Proceedings, Lyon, 2017-09-28/2017-09-30. Cham: Springer, 2017. p. 111-124. ISSN 0302-9743. ISBN 978-3-319-64634-3. DOI 10.1007/978-3-319-64635-0_9.

ŽEGKLITZ, J. and P. POŠÍK. Linear combinations of features as leaf nodes in symbolic regression. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2017 Genetic and Evolutionary Computation Conference, Berlín, 2017-07-15/2017-07-19. New York: ACM, 2017. p. 145-146. ISBN 978-1-4503-4939-0. DOI 10.1145/3067695.3076009. Available from: https://dl.acm.org/citation.cfm?id=3076009

KUBALÍK, J., E. ALIBEKOV, and R. BABUŠKA. Optimal Control via Reinforcement Learning with Symbolic Policy Approximation. In: Proceedings of the IFAC 2017 World Congress. The 20th World Congress of the International Federation of Automatic Control, Toulouse, 2017-07-09/2017-07-14. Kidlington Oxford OX GB: Elsevier, 2017. p. 4162-4167. ISSN 2405-8963. DOI 10.1016/j.ifacol.2017.08.805. Available from: https://www.sciencedirect.com/science/article/pii/S2405896317312594

Dissertations

BAKŠTEIN, E. Deep Brain Recordings in Parkinson's Disease: Processing, Analysis and Fusion with Anatomical Models. Praha: Defense date 2017-03-31. PhD Thesis. ČVUT FEL, Katedra kybernetiky. Supervised by O. ŠTĚPÁNKOVÁ and D. NOVÁK.

13133 / 13167 - Multi-robot Systems

Publications 2017

Papers in WoS Journals

URBAN, M., et al. VZLUSAT-1: Nanosatellite with miniature lobster eye X-ray telescope and qualification of the radiation shielding composite for space application. Acta Astronautica. 2017, 140 96-104. ISSN 0094-5765. DOI 10.1016/j.actaastro.2017.08.004.

Conference Proceedings

BRANDTNER, D. and M. SASKA. Coherent swarming of unmanned micro aerial vehicles with minimum computational and communication requirements. In: Proceedings of ECMR 2017. The European Conference on Mobile Robotics 2017, Paris, 2017-09-06/2017-09-08. Marseille: IEEE, 2017. ISBN 978-1-5386-1096-1. DOI 10.1109/ECMR.2017.8098702. Available from: http://ieeexplore.ieee.org/document/8098702/

FAIGL, J., et al. On solution of the Dubins touring problem. In: Proceedings of ECMR 2017. The European Conference on Mobile Robotics 2017, Paris, 2017-09-06/2017-09-08. Marseille: IEEE, 2017. ISBN 978-1-5386-1096-1. DOI 10.1109/ECMR.2017.8098685. Available from: http://ieeexplore.ieee.org/document/8098685/

DÁNIEL, V., et al. X-ray Lobster Eye all-sky monitor for rocket experiment. In: HUDEC, R. and L. PÍNA, eds. Proc. SPIE 10235, EUV and X-ray Optics: Synergy between Laboratory and Space V. SPIE Optics + Optoelectronics, Praha, 2017-04-24/2017-04-27. Bellingham WA: The International Society for Optical Engineering (SPIE), 2017. Proceedings of SPIE. vol. 10235. ISSN 0277-786X. ISBN 978-1-5106-0972-3. DOI 10.1117/12.2277515.

VONÁSEK, V. and B. KOZLÍKOVÁ. Tunnel detection in protein structures using sampling-based motion planning. In: 2017 11th International Workshop on Robot Motion and Control (RoMoCo). International Workshop on Robot Motion and Control (RoMoCo), Poznan, 2017-07-03/2017-07-05. Piscataway, NJ: IEEE, 2017. p. 185-192. ISBN 978-1-5386-3926-9. DOI 10.1109/RoMoCo.2017.8003911. Available from: http://ieeexplore.ieee.org/document/8003911/

BÁČA, T., P. ŠTĚPÁN, and M. SASKA. Autonomous Landing On A Moving Car With Unmanned Aerial Vehicle. In: Proceedings of ECMR 2017. The European Conference on Mobile Robotics 2017, Paris, 2017-09-06/2017-09-08. Marseille: IEEE, 2017. p. 1-6. ISBN 978-1-5386-1096-1. DOI 10.1109/ECMR.2017.8098700. Available from: http://ieeexplore.ieee.org/document/8098700/

PĚNIČKA, R., et al. Reactive Dubins Traveling Salesman Problem for Information Gathering by UAVs. In: Workshop on AI Planning & Robotics: Challenges and Methods at IEEE International Conference on Robotics and Automation (ICRA 2017). Workshop on AI Planning & Robotics: Challenges and Methods at ICRA 2017, Singapur, 2017-05-29. IEEE, 2017.

VÁŇA, P., et al. Data Collection Planning with Dubins Airplane Model and Limited Travel Budget. In: Proceedings of ECMR 2017. The European Conference on Mobile Robotics 2017, Paris, 2017-09-06/2017-09-08. Marseille: IEEE, 2017. p. 328-333. ISBN 978-1-5386-1096-1. DOI 10.1109/ECMR.2017.8098715.

PĚNIČKA, R., et al. Reactive Dubins Traveling Salesman Problem for Replanning of Information Gathering by UAVs. In: Proceedings of ECMR 2017. The European Conference on Mobile Robotics 2017, Paris, 2017-09-06/2017-09-08. Marseille: IEEE, 2017. p. 1-6. ISBN 978-1-5386-1096-1. DOI 10.1109/ECMR.2017.8098704. Available from: http://ieeexplore.ieee.org/document/8098704/

VÁŇA, P., et al. Data Collection Planning with Limited Budget for Dubins Airplane. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, 2017-09-24/2017-09-28. Piscataway: IEEE, 2017. p. 3137. ISSN 2153-0858. ISBN 978-1-5386-2682-5.

FAIGL, J. and R. PĚNIČKA. On Close Enough Orienteering Problem with Dubins Vehicle. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, 2017-09-24/2017-09-28. Piscataway: IEEE, 2017. p. 5646-5652. ISSN 2153-0858. ISBN 978-1-5386-2682-5. DOI 10.1109/IROS.2017.8206453.

SASKA, M., et al. Documentation of Dark Areas of Large Historical Buildings by a Formation of Unmanned Aerial Vehicles using Model Predictive Control. In: Proceedings of ETFA'2017. The 22nd IEEE International Conference on Emerging Technologies And Factory Automation, Limassol, 2017-09-12/2017-09-15. Piscataway, NJ: IEEE, 2017. ISSN 1946-0759. ISBN 978-1-5090-6505-9.

PĚNIČKA, R., et al. Dubins Orienteering Problem with Neighborhoods. In: Proceedings of 2017 International Conference on Unmanned Aircraft Systems (ICUAS). 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, 2017-06-13/2017-06-16. IEEE, 2017. p. 1555-1562. ISBN 978-1-5090-4494-8. DOI 10.1109/ICUAS.2017.7991350.

KRÁTKÝ, V., et al. Documentation of large historical buildings by UAV formations - scene perception-driven motion planning and predictive control. In: Multi-robot Perception-Driven Control and Planning. Multi-robot Perception-Driven Control and Planning, Workshop at ICRA 2017, Singapore, 2017-06-02. Piscataway, NJ: IEEE, 2017.

VONÁSEK, V., V. AXEL, and M. SASKA. Motion Planning with Motion Primitives for Industrial Bin Picking. In: 2017 IEEE 22nd International Conference on Emerging Technologies and Factory Automation (ETFA). 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, 2017-09-12/2017-09-15. Piscataway: IEEE, 2017. p. 1-4. ISSN 1946-0759. ISBN 978-1-5090-6505-9. DOI 10.1109/ETFA.2017.8247759. Available from: http://ieeexplore.ieee.org/document/8247759/

13133 / 13168 - Machine Learning

Publications 2017

Papers in WoS Journals

PRŮŠA, D. and T. WERNER. LP Relaxation of the Potts Labeling Problem Is as Hard as Any Linear Program. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017, 39(7), 1469-1475. ISSN 0162-8828. DOI 10.1109/TPAMI.2016.2582165.

CAO, J., et al. Polarized actin and VE-cadherin dynamics regulate junctional remodelling and cell migration during sprouting angiogenesis. Nature Communications. 2017, 8(1), ISSN 2041-1723. DOI 10.1038/s41467-017-02373-8. Available from: https://doi.org/10.1038/s41467-017-02373-8

PRŮŠA, D. Complexity of Matching Sets of Two-Dimensional Patterns by Two-Dimensional On-Line Tessellation Automaton. International Journal of Foundations of Computer Science. 2017, 28(5), 623-640. ISSN 0129-0541. DOI 10.1142/S012905411740010X.

NAVARA, M. Orthoalgebras as pastings of Boolean algebras. International Journal of Theoretical Physics. 2017, 56(12), 4126-4132. ISSN 0020-7748. DOI 10.1007/s10773-017-3479-3.

PRŮŠA, D. and K. REINHARDT. Undecidability of the emptiness problem for context-free picture languages. Theoretical Computer Science. 2017, 679 118-125. ISSN 0304-3975. DOI 10.1016/j.tcs.2016.03.025.

NAVARA, M. and M. NAVAROVÁ. Principles of inclusion and exclusion for interval-valued fuzzy sets and IF-sets. Fuzzy Sets and Systems. 2017, 324(1), 60-73. ISSN 0165-0114. DOI 10.1016/j.fss.2016.08.009.

GABRIËLS, J., S.M. GAGOLA III, and M. NAVARA. Sasaki projections. Algebra universalis. 2017, 77(3), 305-320. ISSN 0002-5240. DOI 10.1007/s00012-017-0428-1.

CEVIKALP, H. and V. FRANC. Large-scale robust transductive support vector machines. Neurocomputing. 2017, 235 199-209. ISSN 0925-2312. DOI 10.1016/j.neucom.2017.01.012.

Books, Book Chapters and Lecture Notes

FREUND, R., F. MRÁZ, and D. PRŮŠA, eds. Ninth Workshop on Non-Classical Models of Automata and Applications (NCMA 2017). Prague, 2017-08-17/2017-08-18. Wien: Österreichische Computer Gesellschaft, 2017. ISBN 978-3-903035-18-8.

BEJINES LÓPEZ, C., et al. On the Preservation of an Equivalence Relation Between Fuzzy Subgroups. In: Advances in Fuzzy Logic and Technology 2017. Cham: Springer International Publishing, 2017. DOI 10.1007/978-3-319-66830-7_15.

BEJINES LÓPEZ, C., et al. Some Results About Fuzzy Consequence Operators and Fuzzy Preorders Using Conjunctors. In: Aggregation Functions in Theory and in Practice. Cham: Springer International Publishing, 2017. DOI 10.1007/978-3-319-59306-7_26.

Conference Proceedings

NAVARA, M. Pastings of orthostructures. In: IQSA Meeting 2017. Workshop on Quantum Structures 2017, Nijmegen, 2017-07-04/2017-07-07. Radboud University Nijmegen, 2017. p. 44-45.

PRŮŠA, D. and T. WERNER. LP Relaxations of Some NP-Hard Problems Are as Hard as Any LP. In: KLEIN, P. N., ed. Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms. 28th Annual ACM-SIAM Symposium on Discrete Algorithms, Barcelona, 2017-01-16/2017-01-19. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2017. p. 1372-1382. ISBN 978-1-61197-478-2. DOI 10.1137/1.9781611974782.89. Available from: http://epubs.siam.org/doi/abs/10.1137/1.9781611974782.89

HAN, Y. S. and D. PRŮŠA. Template-Based Pattern Matching in Two-Dimensional Arrays. In: BARNEVA, R.P. and V. E. BRIMKOV, eds. Combinatorial Image Analysis. 18th International Workshop on Combinatorial Image Analysis, Plovdiv, 2017-06-19/2017-06-21. Cham: Springer, 2017. p. 79-92. Lecture Notes in Computer Science. vol. 10256. ISSN 0302-9743. ISBN 978-3-319-59107-0. DOI 10.1007/978-3-319-59108-7_7.

Dissertations

ANTONIUK, K. Discriminative learning from partially annotated examples. Praha: Defense date 2017-02-24. PhD Thesis. ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání. Supervised by V. HLAVÁČ and V. FRANC.

Research Reports

WERNER, T. On Coordinate Minimization of Convex Piecewise-Affine Functions Piecewise-Affine Functions. [Research Report] Praha: ČVUT FEL, Katedra kybernetiky - Centrum strojového vnímání, 2017. Report no. CTU--CMP--2017--05. ISSN 1213-2365.

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