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Image and Video Technology [[electronic resource] ] : PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers / / edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
| Image and Video Technology [[electronic resource] ] : PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers / / edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 206 pages 106 illustrations., 90 illustrations in colour) |
| Disciplina | 621.367 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer communication systems Artificial intelligence Computers Pattern recognition Application software Image Processing and Computer Vision Computer Communication Networks Artificial Intelligence Information Systems and Communication Service Pattern Recognition Computer Applications |
| ISBN | 3-030-39770-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rain Streak Removal with Well-Recovered Moving Objects From Video Sequences Using Photometric Correlation -- Face Analysis: State of the Art and Ethical Challenges -- Location Analysis Based Waiting Time Optimization -- In-Orbit Geometric Calibration of Firebird's Infrared Line Cameras -- Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors -- 3D Image Reconstruction from Multi-focus Microscopic Images -- Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity -- GAN-based Method for Synthesizing Multi-Focus Cell Images -- Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function -- Face-based Age and Gender Classification using Deep Learning Model -- SO-Net: Joint Semantic Segmentation and Obstacle Detection using Deep Fusion of Monocular Camera and Radar -- Deep Forest Approach for Facial Expression Recognition -- Weed Density Estimation Using Semantic Segmentation -- Detecting Global Exam Events in Invigilation Videos using 3D CNN -- Spatial Hierarchical Analysis Deep Neural Network for RGBD Object Recognition -- Reading Digital Video Clocks by Two Phases of Connected Deep Networks. |
| Record Nr. | UNISA-996418204803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Image and Video Technology : PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers / / edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
| Image and Video Technology : PSIVT 2019 International Workshops, Sydney, NSW, Australia, November 18–22, 2019, Revised Selected Papers / / edited by Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 206 pages 106 illustrations., 90 illustrations in colour) |
| Disciplina |
621.367
006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Computer communication systems Artificial intelligence Computers Pattern recognition Application software Image Processing and Computer Vision Computer Communication Networks Artificial Intelligence Information Systems and Communication Service Pattern Recognition Computer Applications |
| ISBN | 3-030-39770-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rain Streak Removal with Well-Recovered Moving Objects From Video Sequences Using Photometric Correlation -- Face Analysis: State of the Art and Ethical Challenges -- Location Analysis Based Waiting Time Optimization -- In-Orbit Geometric Calibration of Firebird's Infrared Line Cameras -- Evaluation of Structures and Methods for Resolution Determination of Remote Sensing Sensors -- 3D Image Reconstruction from Multi-focus Microscopic Images -- Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity -- GAN-based Method for Synthesizing Multi-Focus Cell Images -- Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function -- Face-based Age and Gender Classification using Deep Learning Model -- SO-Net: Joint Semantic Segmentation and Obstacle Detection using Deep Fusion of Monocular Camera and Radar -- Deep Forest Approach for Facial Expression Recognition -- Weed Density Estimation Using Semantic Segmentation -- Detecting Global Exam Events in Invigilation Videos using 3D CNN -- Spatial Hierarchical Analysis Deep Neural Network for RGBD Object Recognition -- Reading Digital Video Clocks by Two Phases of Connected Deep Networks. |
| Record Nr. | UNINA-9910373927403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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MLSDA 2014 : proceedings of MLSDA 2014 the 2nd Workshop on Machine Learning for Sensory Data Analysis : 2 December, 2014, Gold Coast, QLD, Australia
| MLSDA 2014 : proceedings of MLSDA 2014 the 2nd Workshop on Machine Learning for Sensory Data Analysis : 2 December, 2014, Gold Coast, QLD, Australia |
| Autore | Rahman Ashfaqur |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2014 |
| Descrizione fisica | 1 online resource (81 pages) |
| Collana | ACM Other conferences |
| Soggetto topico |
Engineering & Applied Sciences
Computer Science |
| ISBN | 1-4503-3159-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Machine Learning for Sensory Data Analysis 2014
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis Proceedings of the Machine Learning for Sensory Data Analysis 2014 2nd Workshop on Machine Learning for Sensory Data Analysis MLSDA '14 Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia - December 02 - 02, 2014 |
| Record Nr. | UNINA-9910376608503321 |
Rahman Ashfaqur
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| [Place of publication not identified], : ACM, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Australasian Joint Conference on Artificial Intelligence - Workshops / / edited by Jeremiah D. Deng, Ashfaqur Rahman
| Proceedings of the Australasian Joint Conference on Artificial Intelligence - Workshops / / edited by Jeremiah D. Deng, Ashfaqur Rahman |
| Pubbl/distr/stampa | New York, New York : , : Association for Computing Machinery, , 2018 |
| Descrizione fisica | 1 online resource (32 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | ACM international conference proceedings series |
| Soggetto topico |
Artificial intelligence
Data mining |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910412334903321 |
| New York, New York : , : Association for Computing Machinery, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Workshop on Time Series Analytics and Applications / / editors, Andrew Hellicar, Ashfaqur Rahman, Fernando Koch ; sponsor, ACM
| Proceedings of the Workshop on Time Series Analytics and Applications / / editors, Andrew Hellicar, Ashfaqur Rahman, Fernando Koch ; sponsor, ACM |
| Pubbl/distr/stampa | New York : , : ACM, , 2016 |
| Descrizione fisica | 1 online resource (47 pages) |
| Disciplina | 519.55 |
| Collana | ACM International Conference Proceedings Series |
| Soggetto topico |
Time-series analysis
Multiagent systems |
| ISBN | 1-4503-4820-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910376426203321 |
| New York : , : ACM, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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