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Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings / / edited by Frank-Peter Schilling, Thilo Stadelmann
| Artificial Neural Networks in Pattern Recognition [[electronic resource] ] : 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings / / edited by Frank-Peter Schilling, Thilo Stadelmann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 306 p. 205 illus., 114 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Data mining Pattern recognition Artificial Intelligence Image Processing and Computer Vision Data Mining and Knowledge Discovery Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-58309-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning Methods for Image Guidance in Radiation Therapy Intentional Image Similarity Search -- Sttructured (De)composable Representations Trained with Neural Networks -- Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling -- Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins -- Abstract Echo State Networks -- Minimal Complexity Support Vector Machines -- Named Entity Disambiguation at Scale -- Geometric Attention for Prediction of Differential Properties in 3D Point Clouds -- How (Not) to Measure Bias in Face Recognition Networks.-Feature Extraction: A Time Window Analysis based on the X-ITE Pain Database -- Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario -- A deep learning approach for efficient registration of dual view mammography -- Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology -- Applications of Generative Adversarial Networks to Dermatologic Imaging -- Typing Plasmids with Distributed Sequence Representation -- KP-YOLO: a modification of YOLO algorithm for the keypoint-based detection of QR Codes -- Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools -- A Hybrid Deep Learning Approach For Forecasting Air Temperature -- Using CNNs to optimize numerical simulations in geotechnical engineering -- Going for 2D or 3D? Investigating various Machine Learning Approaches for Peach Variety Identification -- A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture -- ML-Based Trading Models: An investigation during COVID-19 pandemic crisis -- iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. |
| Record Nr. | UNISA-996418283303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks in Pattern Recognition : 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings / / edited by Frank-Peter Schilling, Thilo Stadelmann
| Artificial Neural Networks in Pattern Recognition : 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings / / edited by Frank-Peter Schilling, Thilo Stadelmann |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 306 p. 205 illus., 114 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Optical data processing Data mining Pattern recognition Artificial Intelligence Image Processing and Computer Vision Data Mining and Knowledge Discovery Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-030-58309-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep Learning Methods for Image Guidance in Radiation Therapy Intentional Image Similarity Search -- Sttructured (De)composable Representations Trained with Neural Networks -- Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling -- Improving Accuracy and Efficiency of Object Detection Algorithms using Multiscale Feature Aggregation Plugins -- Abstract Echo State Networks -- Minimal Complexity Support Vector Machines -- Named Entity Disambiguation at Scale -- Geometric Attention for Prediction of Differential Properties in 3D Point Clouds -- How (Not) to Measure Bias in Face Recognition Networks.-Feature Extraction: A Time Window Analysis based on the X-ITE Pain Database -- Pain Intensity Recognition - An Analysis of Short-Time Sequences in a Real-World Scenario -- A deep learning approach for efficient registration of dual view mammography -- Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology -- Applications of Generative Adversarial Networks to Dermatologic Imaging -- Typing Plasmids with Distributed Sequence Representation -- KP-YOLO: a modification of YOLO algorithm for the keypoint-based detection of QR Codes -- Using Mask R-CNN for Image-Based Wear Classification of Solid Carbide Milling and Drilling Tools -- A Hybrid Deep Learning Approach For Forecasting Air Temperature -- Using CNNs to optimize numerical simulations in geotechnical engineering -- Going for 2D or 3D? Investigating various Machine Learning Approaches for Peach Variety Identification -- A Transfer Learning End-to-End Arabic Text-To-Speech (TTS) Deep Architecture -- ML-Based Trading Models: An investigation during COVID-19 pandemic crisis -- iNNvestigate-GUI - Explaining Neural Networks Through an Interactive Visualization Tool. |
| Record Nr. | UNINA-9910427719603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||