| Classification Methods for Internet Applications M Holeňa, P Pulc, M Kopp Springer International Publishing, 2020 | 11 | 2020 |
| Semi-supervised and Active Learning in Video Scene Classification from Statistical Features. T Sabata, P Pulc, M Holena Ial@ Pkdd/Ecml 2192, 24-35, 2018 | 10 | 2018 |
| Image Processing in Collaborative Open Narrative Systems. P Pulc, E Rosenzveig, M Holena ITAT, 155-162, 2016 | 4 | 2016 |
| Some frequently used classification methods M Holeňa, P Pulc, M Kopp, M Holeňa, P Pulc, M Kopp Classification Methods for Internet Applications, 105-163, 2020 | 3 | 2020 |
| Towards real-time motion estimation in high-definition video based on points of interest P Pulc, M Holeňa 2017 Federated Conference on Computer Science and Information Systems …, 2017 | 3 | 2017 |
| Rules Extraction from Neural Networks Trained on Multimedia Data. M Fanta, P Pulc, M Holena ITAT, 26-35, 2019 | 2 | 2019 |
| Hierarchical Motion Tracking Using Matching of Sparse Features P Pulc, M Holeňa 2018 14th International Conference on Signal-Image Technology & Internet …, 2018 | 2 | 2018 |
| Case Study in Approaches to the Classification of Audiovisual Recordings of Lectures and Conferences P Pulc, M Holeňa ITAT 2014: Information Technologies – Applications and Theory 2, 79-84, 2014 | 2 | 2014 |
| Unsupervised Construction of Task-Specific Datasets for Object Re-identification P Pulc, M Holena Proceedings of the 2021 7th International Conference on Computer Technology …, 2021 | 1 | 2021 |
| Basic Concepts Concerning Classification M Holeňa, P Pulc, M Kopp, M Holeňa, P Pulc, M Kopp Classification Methods for Internet Applications, 69-103, 2020 | 1 | 2020 |
| Important Internet Applications of Classification M Holeňa, P Pulc, M Kopp, M Holeňa, P Pulc, M Kopp Classification Methods for Internet Applications, 1-68, 2020 | 1 | 2020 |
| Motion segmentation by semi-supervised classification in dynamic scenery P Pulc, O Kerul-Kmec, T Šabata, M Holena | 1 | 2018 |
| Application of Meta-learning Principles in Multimedia Indexing P Pulc, M Holeňa DATESO 2016: Databases, Texts, Specifications, and Objects, 2016 | 1 | 2016 |
| Search for Structure in Audiovisual Recordings of Lectures and Conferences. M Kopp, P Pulc, M Holena ITAT, 150-158, 2015 | 1 | 2015 |
| Video Scene Location Recognition with Neural Networks L Korel, P Pulc, J Tumpach, M Holeňa arXiv preprint arXiv:2309.11928, 2023 | | 2023 |
| Získávání znalostí z multimediálního Obsahu/Knowledge Extraction from Multimedia Content P Pulc Czech Technical University, 2022 | | 2022 |
| Aiming at Comprehensibility M Holeňa, P Pulc, M Kopp, M Holeňa, P Pulc, M Kopp Classification Methods for Internet Applications, 197-246, 2020 | | 2020 |
| A Team Is Superior to an Individual M Holeňa, P Pulc, M Kopp, M Holeňa, P Pulc, M Kopp Classification Methods for Internet Applications, 247-279, 2020 | | 2020 |
| Aiming at Predictive Accuracy M Holeňa, P Pulc, M Kopp, M Holeňa, P Pulc, M Kopp Classification Methods for Internet Applications, 165-196, 2020 | | 2020 |
| Výzkum přístupů ke klasifikaci audiovizuálních záznamů přednášek a konferencí P Pulc České vysoké učení technické v Praze. Vypočetní a informační centrum., 2014 | | 2014 |
Martin Holena在 cs.cas.cz 的电子邮件经过验证
Martin Holena在 cs.cas.cz 的电子邮件经过验证
Tomáš ŠabataCzech Technical University in Prague在 fit.cvut.cz 的电子邮件经过验证