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Mathematical Morphology and Its Applications to Signal and Image Processing [[electronic resource] ] : 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings / / edited by Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret
| Mathematical Morphology and Its Applications to Signal and Image Processing [[electronic resource] ] : 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings / / edited by Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIV, 19 p. 578 illus., 190 illus. in color.) |
| Disciplina | 621.3670151 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer science—Mathematics Management information systems Computer science Software engineering Artificial intelligence Image Processing and Computer Vision Math Applications in Computer Science Management of Computing and Information Systems Software Engineering Artificial Intelligence |
| ISBN | 3-030-20867-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory -- Discrete Topology and Tomography -- Trees and Hierarchies -- Multivariate Morphology -- Computational Morphology -- Machine Learning -- Segmentation -- Applications in Engineering -- Applications in (Bio)medical Imaging. |
| Record Nr. | UNISA-996466308303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Mathematical Morphology and Its Applications to Signal and Image Processing : 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings / / edited by Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret
| Mathematical Morphology and Its Applications to Signal and Image Processing : 14th International Symposium, ISMM 2019, Saarbrücken, Germany, July 8-10, 2019, Proceedings / / edited by Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel, Nicolas Passat, Benjamin Perret |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XIV, 19 p. 578 illus., 190 illus. in color.) |
| Disciplina |
621.3670151
006.60151 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer science—Mathematics Management information systems Computer science Software engineering Artificial intelligence Image Processing and Computer Vision Math Applications in Computer Science Management of Computing and Information Systems Software Engineering Artificial Intelligence |
| ISBN | 3-030-20867-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory -- Discrete Topology and Tomography -- Trees and Hierarchies -- Multivariate Morphology -- Computational Morphology -- Machine Learning -- Segmentation -- Applications in Engineering -- Applications in (Bio)medical Imaging. |
| Record Nr. | UNINA-9910337838603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Reproducible Research in Pattern Recognition [[electronic resource] ] : Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers / / edited by Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret
| Reproducible Research in Pattern Recognition [[electronic resource] ] : Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers / / edited by Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret |
| Autore | Kerautret Bertrand |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
ColomMiguel
KrähenbühlAdrien LoprestiDaniel MonassePascal PerretBenjamin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer engineering Computer networks Computers Artificial intelligence Computers, Special purpose Computer and Information Systems Applications Computer Engineering and Networks Computing Milieux Artificial Intelligence Computer Communication Networks Special Purpose and Application-Based Systems |
| ISBN | 3-031-40773-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- The Fuzzy Boundaries of Reproducibility (Lightweight Presentation Abstract) -- Contents -- Reproducible Research Framework -- Development Efforts for Reproducible Research: Platform, Library and Editorial Investment -- 1 Introduction -- 2 Reproducible Research Platform Updates -- 3 Reproducible Research Through Libraries -- 3.1 Library Experiences from Pattern Recognition, Image and Geometry Domains -- 3.2 Higra Library Development Feedback -- 4 Advanced Editorial Efforts -- 4.1 Improvements in the IPOL Journal -- 4.2 OVD-SaaS, a Spin-Off of IPOL for Industrial Applications -- 5 Conclusion -- References -- Reproducible Research Results -- Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Texts and Bounding Boxes -- 3.2 Features Assignment -- 3.3 Graph Construction -- 3.4 GNN Model -- 3.5 Model Prediction -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Metrics -- 4.4 Results -- 4.5 Implementation Details -- 5 Conclusion -- References -- Short ICPR Companion Papers -- A Novel Pattern-Based Edit Distance for Automatic Log Parsing: Implementation and Reproducibility Notes -- 1 Introduction -- 2 Implementation Considerations -- 3 Installation Steps -- 4 Pattern Clustering Usage -- 4.1 Pattern Collection -- 4.2 Returned Value -- 4.3 Dropping Duplicated Pattern Automata -- 5 Experimental Setup -- 5.1 Drain and LogMine Integration -- 5.2 Loghub Dataset -- 5.3 Ground Truth -- 5.4 Experimental Parameters -- 5.5 Accuracy -- 6 Conclusion -- References -- Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification -- 1 Introduction -- 2 Deep Saliency Map Generators -- 2.1 Grad-CAM -- 2.2 RISE -- 2.3 SIDU -- 3 Networks -- 3.1 3D-ResNet -- 3.2 Persistent Appearance Network.
4 Evaluation -- 4.1 Deletion Metric -- 4.2 Insertion Metric -- 5 Conclusion -- References -- On Challenging Aspects of Reproducibility in Deep Anomaly Detection -- 1 Introduction -- 2 Deep Anomaly Detection -- 3 Challenges for Reproducibility -- 3.1 Nondeterminism in Network Optimization -- 3.2 Sensitivity to Hyperparameters -- 3.3 Complexity -- 3.4 Dataset Selection -- 3.5 Resource Limitations -- 3.6 Dependencies -- 4 Complexity-Evidence Tradeoff -- 5 Conclusion -- References -- On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift -- 1 Introduction -- 2 Dataset -- 3 Implementation -- 3.1 Preprocessing of Raw Json Files with Twitter Data -- 3.2 Embeddings -- 3.3 Machine Learning Models - Training and Evaluation -- 3.4 Running Experiments Efficiently -- 4 Reproducibility -- 5 Credibility of Results -- 6 Conclusions -- References -- Special Reproducibility Track from DGMM Event -- Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images -- 1 Introduction -- 2 State of the Art -- 3 Methods -- 3.1 Max-Tree -- 3.2 Segmentation -- 3.3 Evaluation Metrics -- 4 Experiments -- 4.1 Data -- 4.2 Results -- 4.3 Reproducibility -- 5 Conclusion -- A Appendix -- A.1 Results -- A.2 Example Preprocessing Visualization -- References -- Automatic Forest Road Extraction from LiDAR Data Using Convolutional Neural Networks*-12pt -- 1 Introduction -- 2 Method -- 2.1 Problem Statement -- 2.2 Previous Approach to Forest Road Extraction -- 2.3 Light DDCM-Net Architecture -- 3 Experimental Setup -- 3.1 Dataset -- 3.2 Network Training -- 4 Results and Discussions -- 5 Conclusion -- References -- Discussions Report Paper -- Promoting Reproducibility of Research Results in International Events (Report from the 4th RRPR)*-12pt -- 1 Introduction -- 2 Addressing RR at International Conferences. 2.1 Recent Proposals -- 2.2 New Ideas on Promoting RR at International Conferences -- 2.3 Impact of Efforts Encouraging RR in Conferences -- 3 Focus on Motivating RR -- 3.1 Recent Initiatives -- 3.2 Issues for Research Result Comparisons -- 3.3 Strengthening Reproducibility: From Publications to Teaching -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910739460603321 |
Kerautret Bertrand
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Reproducible Research in Pattern Recognition [[electronic resource] ] : Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers / / edited by Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret
| Reproducible Research in Pattern Recognition [[electronic resource] ] : Fourth International Workshop, RRPR 2022, Montreal, Canada, August 21, 2022, Revised Selected Papers / / edited by Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Benjamin Perret |
| Autore | Kerautret Bertrand |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
ColomMiguel
KrähenbühlAdrien LoprestiDaniel MonassePascal PerretBenjamin |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer engineering Computer networks Computers Artificial intelligence Computers, Special purpose Computer and Information Systems Applications Computer Engineering and Networks Computing Milieux Artificial Intelligence Computer Communication Networks Special Purpose and Application-Based Systems |
| ISBN | 3-031-40773-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- The Fuzzy Boundaries of Reproducibility (Lightweight Presentation Abstract) -- Contents -- Reproducible Research Framework -- Development Efforts for Reproducible Research: Platform, Library and Editorial Investment -- 1 Introduction -- 2 Reproducible Research Platform Updates -- 3 Reproducible Research Through Libraries -- 3.1 Library Experiences from Pattern Recognition, Image and Geometry Domains -- 3.2 Higra Library Development Feedback -- 4 Advanced Editorial Efforts -- 4.1 Improvements in the IPOL Journal -- 4.2 OVD-SaaS, a Spin-Off of IPOL for Industrial Applications -- 5 Conclusion -- References -- Reproducible Research Results -- Enhancing GNN Feature Modeling for Document Information Extraction Using Transformers -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Texts and Bounding Boxes -- 3.2 Features Assignment -- 3.3 Graph Construction -- 3.4 GNN Model -- 3.5 Model Prediction -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Metrics -- 4.4 Results -- 4.5 Implementation Details -- 5 Conclusion -- References -- Short ICPR Companion Papers -- A Novel Pattern-Based Edit Distance for Automatic Log Parsing: Implementation and Reproducibility Notes -- 1 Introduction -- 2 Implementation Considerations -- 3 Installation Steps -- 4 Pattern Clustering Usage -- 4.1 Pattern Collection -- 4.2 Returned Value -- 4.3 Dropping Duplicated Pattern Automata -- 5 Experimental Setup -- 5.1 Drain and LogMine Integration -- 5.2 Loghub Dataset -- 5.3 Ground Truth -- 5.4 Experimental Parameters -- 5.5 Accuracy -- 6 Conclusion -- References -- Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification -- 1 Introduction -- 2 Deep Saliency Map Generators -- 2.1 Grad-CAM -- 2.2 RISE -- 2.3 SIDU -- 3 Networks -- 3.1 3D-ResNet -- 3.2 Persistent Appearance Network.
4 Evaluation -- 4.1 Deletion Metric -- 4.2 Insertion Metric -- 5 Conclusion -- References -- On Challenging Aspects of Reproducibility in Deep Anomaly Detection -- 1 Introduction -- 2 Deep Anomaly Detection -- 3 Challenges for Reproducibility -- 3.1 Nondeterminism in Network Optimization -- 3.2 Sensitivity to Hyperparameters -- 3.3 Complexity -- 3.4 Dataset Selection -- 3.5 Resource Limitations -- 3.6 Dependencies -- 4 Complexity-Evidence Tradeoff -- 5 Conclusion -- References -- On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift -- 1 Introduction -- 2 Dataset -- 3 Implementation -- 3.1 Preprocessing of Raw Json Files with Twitter Data -- 3.2 Embeddings -- 3.3 Machine Learning Models - Training and Evaluation -- 3.4 Running Experiments Efficiently -- 4 Reproducibility -- 5 Credibility of Results -- 6 Conclusions -- References -- Special Reproducibility Track from DGMM Event -- Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images -- 1 Introduction -- 2 State of the Art -- 3 Methods -- 3.1 Max-Tree -- 3.2 Segmentation -- 3.3 Evaluation Metrics -- 4 Experiments -- 4.1 Data -- 4.2 Results -- 4.3 Reproducibility -- 5 Conclusion -- A Appendix -- A.1 Results -- A.2 Example Preprocessing Visualization -- References -- Automatic Forest Road Extraction from LiDAR Data Using Convolutional Neural Networks*-12pt -- 1 Introduction -- 2 Method -- 2.1 Problem Statement -- 2.2 Previous Approach to Forest Road Extraction -- 2.3 Light DDCM-Net Architecture -- 3 Experimental Setup -- 3.1 Dataset -- 3.2 Network Training -- 4 Results and Discussions -- 5 Conclusion -- References -- Discussions Report Paper -- Promoting Reproducibility of Research Results in International Events (Report from the 4th RRPR)*-12pt -- 1 Introduction -- 2 Addressing RR at International Conferences. 2.1 Recent Proposals -- 2.2 New Ideas on Promoting RR at International Conferences -- 2.3 Impact of Efforts Encouraging RR in Conferences -- 3 Focus on Motivating RR -- 3.1 Recent Initiatives -- 3.2 Issues for Research Result Comparisons -- 3.3 Strengthening Reproducibility: From Publications to Teaching -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996546851903316 |
|
Kerautret Bertrand
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||