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3-D Computer Vision [[electronic resource] ] : Principles, Algorithms and Applications / / by Yu-Jin Zhang
| 3-D Computer Vision [[electronic resource] ] : Principles, Algorithms and Applications / / by Yu-Jin Zhang |
| Autore | Zhang Yu-Jin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Computer vision
Image processing—Digital techniques Image processing Computer science User interfaces (Computer systems) Human-computer interaction Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Theory and Algorithms for Application Domains Computer Science User Interfaces and Human Computer Interaction |
| ISBN | 981-19-7580-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Camera Calibration -- Chapter 3. 3-D Image Acquisition -- Chapter 4. Video and Motion Information -- Chapter 5. Moving Object Detection and Tracking -- Chapter 6. Binocular Stereo Vision -- Chapter 7. Monocular Multiple Image Reconstruction -- Chapter 8. Monocular Single Image Reconstruction -- Chapter 9. 3-D Scene Representation -- Chapter 10. Scene Matching -- Chapter 11. Knowledge and Scene Interpretation -- Chapter 12. Spatial-Temporal Behavior Understanding. |
| Record Nr. | UNINA-9910647782503321 |
Zhang Yu-Jin
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3-D Computer Vision [[electronic resource] ] : Principles, Algorithms and Applications / / by Yu-Jin Zhang
| 3-D Computer Vision [[electronic resource] ] : Principles, Algorithms and Applications / / by Yu-Jin Zhang |
| Autore | Zhang Yu-Jin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Computer vision
Image processing—Digital techniques Image processing Computer science User interfaces (Computer systems) Human-computer interaction Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Theory and Algorithms for Application Domains Computer Science User Interfaces and Human Computer Interaction |
| ISBN | 981-19-7580-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Camera Calibration -- Chapter 3. 3-D Image Acquisition -- Chapter 4. Video and Motion Information -- Chapter 5. Moving Object Detection and Tracking -- Chapter 6. Binocular Stereo Vision -- Chapter 7. Monocular Multiple Image Reconstruction -- Chapter 8. Monocular Single Image Reconstruction -- Chapter 9. 3-D Scene Representation -- Chapter 10. Scene Matching -- Chapter 11. Knowledge and Scene Interpretation -- Chapter 12. Spatial-Temporal Behavior Understanding. |
| Record Nr. | UNISA-996546832403316 |
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Zhang Yu-Jin
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings / / edited by Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders
| Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings / / edited by Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders |
| Autore | Blanc-Talon Jaques |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (397 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
DelmasPatrice
PhilipsWilfried ScheundersPaul |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Biometric identification Image processing Robotics Computer Vision Biometrics Image Processing |
| ISBN | 3-031-45382-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A hybrid quantum-classical segment-based Stereo Matching algorithm -- Continuous Exposure for Extreme Low-Light Imaging -- Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders -- Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing -- Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks -- Person activity classification from an aerial sensor based on a multi-level deep features -- Person Quick-Search Approach based on a Facial Semantic Attributes Description -- Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers -- BENet: A lightweight bottom-up framework for context-aware emotion recognition -- Yolopoint: Joint Keypoint and Object Detection -- Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network -- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network -- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network -- A Single Image Neuro-Geometric Depth Estimation -- Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds -- A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria -- Multimodal Emotion Recognition System Through Three Different Channels (MER-3C) -- Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets -- A Contrario Mosaic Analysis for Image Forensics -- IRIS SEGMENTATION TECHNIQUE USING IRIS-UNet METHOD -- Image Acquisition by Image Retrieval with Color Aesthetics -- Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs -- Quality assessment for high dynamic range stereoscopic omnidirectional image system -- Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging -- Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system -- Underwater mussel segmentation using smoothed shape descriptors with random forest -- A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation -- Construction of a novel data set for pedestrian tree species detection using google street view data -- Texture-based Data Augmentation for Small Datasets -- Multimodal Representations for Teacher-Guided Compositional Visual Reasoning -- Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces. |
| Record Nr. | UNINA-9910763600503321 |
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Blanc-Talon Jaques
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings / / edited by Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders
| Advanced Concepts for Intelligent Vision Systems [[electronic resource] ] : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings / / edited by Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders |
| Autore | Blanc-Talon Jaques |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (397 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
DelmasPatrice
PhilipsWilfried ScheundersPaul |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Biometric identification Image processing Robotics Computer Vision Biometrics Image Processing |
| ISBN | 3-031-45382-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A hybrid quantum-classical segment-based Stereo Matching algorithm -- Continuous Exposure for Extreme Low-Light Imaging -- Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders -- Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing -- Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks -- Person activity classification from an aerial sensor based on a multi-level deep features -- Person Quick-Search Approach based on a Facial Semantic Attributes Description -- Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers -- BENet: A lightweight bottom-up framework for context-aware emotion recognition -- Yolopoint: Joint Keypoint and Object Detection -- Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network -- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network -- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network -- A Single Image Neuro-Geometric Depth Estimation -- Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds -- A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria -- Multimodal Emotion Recognition System Through Three Different Channels (MER-3C) -- Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets -- A Contrario Mosaic Analysis for Image Forensics -- IRIS SEGMENTATION TECHNIQUE USING IRIS-UNet METHOD -- Image Acquisition by Image Retrieval with Color Aesthetics -- Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs -- Quality assessment for high dynamic range stereoscopic omnidirectional image system -- Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging -- Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system -- Underwater mussel segmentation using smoothed shape descriptors with random forest -- A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation -- Construction of a novel data set for pedestrian tree species detection using google street view data -- Texture-based Data Augmentation for Small Datasets -- Multimodal Representations for Teacher-Guided Compositional Visual Reasoning -- Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces. |
| Record Nr. | UNISA-996565869603316 |
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Blanc-Talon Jaques
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Beamforming in Medical Ultrasound Imaging [[electronic resource] /] / by Babak Mohammadzadeh Asl, Roya Paridar
| Beamforming in Medical Ultrasound Imaging [[electronic resource] /] / by Babak Mohammadzadeh Asl, Roya Paridar |
| Autore | Mohammadzadeh Asl Babak |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (368 pages) |
| Disciplina | 610.28 |
| Altri autori (Persone) | ParidarRoya |
| Collana | Springer Tracts in Electrical and Electronics Engineering |
| Soggetto topico |
Biomedical engineering
Signal processing Image processing Biomedical Engineering and Bioengineering Signal, Speech and Image Processing Image Processing |
| ISBN | 981-9975-28-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Principles of Ultrasound Imaging -- Array Transducers and Beamforming -- Beamforming Algorithms in Medical Ultrasound Imaging: State-of-the-Art -- Phase Aberration Correction -- Harmonic Imaging and Beamforming -- New Areas of Beamforming in Medical Ultrasound Imaging. . |
| Record Nr. | UNINA-9910768456903321 |
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Mohammadzadeh Asl Babak
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cloud-Based Remote Sensing with Google Earth Engine : Fundamentals and Applications / / edited by Jeffrey A. Cardille, Morgan A. Crowley, David Saah, Nicholas E. Clinton
| Cloud-Based Remote Sensing with Google Earth Engine : Fundamentals and Applications / / edited by Jeffrey A. Cardille, Morgan A. Crowley, David Saah, Nicholas E. Clinton |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (XXI, 1226 p. 1493 illus., 1464 illus. in color.) |
| Disciplina | 363.7063 |
| Soggetto topico |
Environmental monitoring
Image processing Artificial intelligence - Data processing Engineering - Data processing Environmental Monitoring Image Processing Data Science Data Engineering |
| ISBN | 3-031-26588-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Programming and Remote Sensing Basics -- 1. JavaScript and the Earth Engine API -- 2. Exploring Images -- 3. Survey of Raster Datasets -- 4. The Remote Sensing Vocabulary.-Part 2: Interpreting Images -- 5. Image Manipulation: Bands, Arithmetic, Thresholds, and Masks -- 6. Interpreting an Image: Classification -- 7. Accuracy Assessment: Quantifying Classification Quality -- Part 3: Advanced Image Processing -- 8. Interpreting an Image: Regression -- 9. Advanced Pixel-based Image Transformation -- 10. Neighborhood-based Image Transformation -- 11. Object-based Image Analysis -- Part 4: Interpreting Image Series -- 12. Filter, Map, Reduce -- 13. Exploring Image Collections -- 14. Aggregating Images for Time Series -- 15. Clouds and Image Compositing -- 16. Change Detection -- 17. Interpreting Annual Time Series with LandTrendr -- 18. Fitting Functions to Time Series.-19. Interpreting Time Series with CCDC -- 20. Data Fusion: Merging Classification Streams -- 21. Exploring Lagged Effects in Time Series -- Part 5: Vectors and Tables -- 22. Exploring Vectors -- 23. Raster/Vector Conversions -- 24. Zonal Statistics -- 25. Advanced Vector Operations -- 26. GEEDiT - Digitizing From Satellite Imagery -- Part 6: Advanced Topics -- 27. Advanced Raster Visualization -- 28. Collaborating in Earth Engine with Scripts and Assets -- 29. Scaling up in Earth Engine -- 30. Sharing Work in Earth Engine: Basic UI and Apps -- 31. Combining R and Earth Engine -- Part 7: Human Applications -- 32. Agricultural Environments -- 33. Urban Environments -- 34. Built Environments -- 35. Air pollution and population exposure -- 36. Heat Islands -- 37. Health Applications -- 38. Humanitarian Applications -- 39. Monitoring Gold Mining Activity using SAR -- Part 8: Aquatic and Hydrological Applications -- 40. Groundwater monitoring with GRACE -- 41. Benthic Habitats -- 42. Surface Water Mapping -- 43. River morphology -- 44. Water Balance and Drought -- 45. Defining Seasonality: First Date of No Snow.-Part 9: Terrestrial Applications -- 46. Active fire monitoring -- 47. Mangroves -- 48. Mangroves II - Change Mapping -- 49. Forest Degradation and Deforestation -- 50. Deforestation Viewed from Multiple Sensors -- 51. Working With GPS & Weather Data -- 52. Creating Presence and Absence Points -- 53. Detecting Land Cover Change in Rangelands -- 54. Conservation I - Assessing the spatial relationship between burned area and precipitation -- 55. Conservation II - Assessing Agricultural Intensification Near Protected Areas. |
| Record Nr. | UNINA-9910746982703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analysis for Neurodegenerative Disorders [[electronic resource] /] / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia
| Data Analysis for Neurodegenerative Disorders [[electronic resource] /] / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia |
| Autore | Koundal Deepika |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (267 pages) |
| Disciplina | 616.800285 |
| Altri autori (Persone) |
JainDeepak Kumar
GuoYanhui AshourAmira S ZaguiaAtef |
| Collana | Cognitive Technologies |
| Soggetto topico |
Medical informatics
Image processing—Digital techniques Computer vision Image processing Machine learning Artificial intelligence—Data processing Health Informatics Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Machine Learning Data Science |
| Soggetto non controllato |
Internal Medicine
Medical |
| ISBN | 981-9921-54-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to neurodegenerative disorders -- Chapter 2. Neurodegenerative Disorders and available therapies: A review -- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques -- Chapter 4. Deep learning based classification of neurodegenerative disorders -- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy -- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation -- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique -- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease -- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning -- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer’s Disease -- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images -- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals -- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson -- Chapter 14. Challenges and Possible research directions. |
| Record Nr. | UNINA-9910728935403321 |
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Koundal Deepika
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analysis for Neurodegenerative Disorders [[electronic resource] /] / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia
| Data Analysis for Neurodegenerative Disorders [[electronic resource] /] / edited by Deepika Koundal, Deepak Kumar Jain, Yanhui Guo, Amira S. Ashour, Atef Zaguia |
| Autore | Koundal Deepika |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (267 pages) |
| Disciplina | 616.800285 |
| Altri autori (Persone) |
JainDeepak Kumar
GuoYanhui AshourAmira S ZaguiaAtef |
| Collana | Cognitive Technologies |
| Soggetto topico |
Medical informatics
Image processing—Digital techniques Computer vision Image processing Machine learning Artificial intelligence—Data processing Health Informatics Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing Machine Learning Data Science |
| Soggetto non controllato |
Internal Medicine
Medical |
| ISBN | 981-9921-54-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to neurodegenerative disorders -- Chapter 2. Neurodegenerative Disorders and available therapies: A review -- Chapter 3. Role of peptides in Neurodegenerative disorders by using Machine Learning techniques -- Chapter 4. Deep learning based classification of neurodegenerative disorders -- Chapter 5. EEG Processing and Machine Learning based Categorization of Epilepsy -- Chapter 6. An Automatic Edge-Region Based Level set Method for MRI Brain Image Segmentation -- Chapter 7. Multimodal Medical Image Fusion for identification of Neurodegenerative disorders Using Neutrosophic CNN Technique -- Chapter 8. Automated EEG temporal lobe signal processing for diagnosis of Alzheimer disease -- Chapter 9. Alzheimer Disease Identification based on the EEG Processing and Machine Learning -- Chapter 10. Deep Learning Models for Automatic Classification and Prediction of Alzheimer’s Disease -- Chapter 11. Machine learning models for Alzheimer Disease Detection using medical images -- Chapter 12. Transfer learning for precise classification of Parkinson disease from EEG signals -- Chapter 13. Analysis of Convolutional Neural Network Based Architecture for Parkinson -- Chapter 14. Challenges and Possible research directions. |
| Record Nr. | UNISA-996546828003316 |
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Koundal Deepika
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Data Driven Approaches on Medical Imaging [[electronic resource] /] / edited by Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, Kishor Datta Gupta
| Data Driven Approaches on Medical Imaging [[electronic resource] /] / edited by Bin Zheng, Stefan Andrei, Md Kamruzzaman Sarker, Kishor Datta Gupta |
| Autore | Zheng Bin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (236 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
AndreiStefan
SarkerKamruzzaman GuptaKishor Datta |
| Soggetto topico |
Image processing
Medical informatics Biomedical engineering Computer vision Image Processing Health Informatics Medical and Health Technologies Computer Vision |
| ISBN | 3-031-47772-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter. 1. Introduction of Medical Imaging Modalities -- Chapter. 2. Introduction to Medical Imaging Informatics -- Chapter. 3. Active Learning on Medical Image -- Chapter. 4. Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework -- Chapter. 5. AUTOML Systems for Medical Imaging -- Chapter. 6. Online learning for X-ray, CT or MRI -- Chapter. 7. Invariant Scattering Transform for Medical Imaging -- Chapter. 8. Generative Adversarial Networks for Data Augmentation -- Chapter. 9. Bias, Ethical concerns, and explainable decision-making in medical imaging research -- Chapter. 10. Case Studies on X-Ray Imaging, MRI and Nuclear Imaging -- Index. |
| Record Nr. | UNINA-9910831008503321 |
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Zheng Bin
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang
| Digital Watermarking for Machine Learning Model [[electronic resource] ] : Techniques, Protocols and Applications / / edited by Lixin Fan, Chee Seng Chan, Qiang Yang |
| Autore | Fan Lixin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (233 pages) |
| Disciplina | 005.82 |
| Altri autori (Persone) |
ChanChee Seng
YangQiang |
| Soggetto topico |
Machine learning
Data protection Image processing—Digital techniques Computer vision Image processing Machine Learning Data and Information Security Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 981-19-7554-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Preliminary -- Chapter 1. Introduction -- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks -- Part II Techniques -- Chapter 3. ModelWatermarking for Image Recovery DNNs -- Chapter 4. The Robust and Harmless ModelWatermarking -- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary -- Chapter 6. Protecting Image Processing Networks via Model Water -- Chapter 7. Watermarks for Deep Reinforcement Learning -- Chapter 8. Ownership Protection for Image Captioning Models -- Chapter 9.Protecting Recurrent Neural Network by Embedding Key -- Part III Applications -- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models -- Chapter 11. Model Auditing For Data Intellectual Property . |
| Record Nr. | UNISA-996546839603316 |
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Fan Lixin
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Soggetto topico
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Image Processing
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- Image processing (34)
- Computer vision (22)
- Machine Learning (16)
- Machine learning (16)