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3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
| 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 146 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 68T45 - Machine vision and scene understanding [MSC 2020] |
| Soggetto non controllato |
3D computer vision
3D object detection 3D object recognition Deep Learning Explainable machine learning Machine learning ModelNet40 Point cloud analysis Point cloud classification Point cloud part segmentation Point cloud registration PointHop R-PointHop Saab transform ShapeNet Successive subspace learning Unsupervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274505 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3D Point Cloud Analy...
3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.]
| 3D Point Cloud Analysis : Traditional, Deep Learning, and Explainable Machine Learning Methods / Shan Liu ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 146 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 68T45 - Machine vision and scene understanding [MSC 2020] |
| Soggetto non controllato |
3D computer vision
3D object detection 3D object recognition Deep Learning Explainable machine learning Machine learning ModelNet40 Point cloud analysis Point cloud classification Point cloud part segmentation Point cloud registration PointHop R-PointHop Saab transform ShapeNet Successive subspace learning Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274505 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
3D Point Cloud Analy...
AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen
| AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , [2023] |
| Descrizione fisica | 1 online resource (290 p.) |
| Collana | KI-Kritik |
| Soggetto topico | SOCIAL SCIENCE / Media Studies |
| Soggetto non controllato |
Algorithms
Big Data Computer Sciences Deep Learning Digital Media Ethics Internet Machine Learning Media Philosophy Media Studies Sociology of Media Technology |
| ISBN | 3-8394-5732-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Editorial -- Contents -- Preface -- Learning Algorithms -- Transgressing the Boundaries -- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving -- Limits and Prospects of Big Data and Small Data Approaches in AI Applications -- Artificial Intelligence and/as Risk -- When You Can’t Have What You Want -- Man-Machines -- Trends in Explainable Artificial Intelligence for Non-Experts -- Machine Dreaming -- Let’s Fool That Stupid AI -- Authors |
| Record Nr. | UNISA-996545359503316 |
| Bielefeld : , : transcript Verlag, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen
| AI - Limits and Prospects of Artificial Intelligence / / ed. by Peter Klimczak, Christer Petersen |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , [2023] |
| Descrizione fisica | 1 online resource (290 p.) |
| Collana | KI-Kritik |
| Soggetto topico | SOCIAL SCIENCE / Media Studies |
| Soggetto non controllato |
Algorithms
Big Data Computer Sciences Deep Learning Digital Media Ethics Internet Machine Learning Media Philosophy Media Studies Sociology of Media Technology |
| ISBN |
9783839457320
3839457327 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Editorial -- Contents -- Preface -- Learning Algorithms -- Transgressing the Boundaries -- Limits and Prospects of Ethics in the Context of Law and Society by the Example of Accident Algorithms of Autonomous Driving -- Limits and Prospects of Big Data and Small Data Approaches in AI Applications -- Artificial Intelligence and/as Risk -- When You Can’t Have What You Want -- Man-Machines -- Trends in Explainable Artificial Intelligence for Non-Experts -- Machine Dreaming -- Let’s Fool That Stupid AI -- Authors |
| Record Nr. | UNINA-9910743294803321 |
| Bielefeld : , : transcript Verlag, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI, Blockchain and Self-Sovereign Identity in Higher Education / Hamid Jahankhani ... [et al.] editors
| AI, Blockchain and Self-Sovereign Identity in Higher Education / Hamid Jahankhani ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | vi, 313 p. : ill. ; 24 cm |
| Soggetto non controllato |
Artificial Intelligence
Blockchain Cyber Security Deep Learning Higher education Machine learning Network Security |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00285962 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
AI, Blockchain and S...
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev
| An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev |
| Autore | Pereverzyev, Sergei |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xiv, 152 p. : ill. ; 24 cm |
| Soggetto non controllato |
Artificial Intelligence
Deep Learning Examples Integral operators Learning theory Linear regularization Tikhonov RKHS deep neural networks Ranking learning Regression learning Regularization theory Reinforcement Learning Reproducing Kernel Hilbert spaces Statistical learning Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276167 |
Pereverzyev, Sergei
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| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Introduction to A...
An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev
| An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces / Sergei Pereverzyev |
| Autore | Pereverzyev, Sergei |
| Pubbl/distr/stampa | Cham, : Birkhäuser, : Springer, 2022 |
| Descrizione fisica | xiv, 152 p. : ill. ; 24 cm |
| Soggetto topico |
62G05 - Nonparametric estimation [MSC 2020]
65C20 - Probabilistic models, generic numerical methods in probability and statistics [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Deep Learning Examples Integral operators Learning theory Linear regularization Tikhonov RKHS deep neural networks Ranking learning Regression learning Regularization theory Reinforcement Learning Reproducing Kernel Hilbert spaces Statistical learning Unsupervised Domain Adaptation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276167 |
|
Pereverzyev, Sergei
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| Cham, : Birkhäuser, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Introduction to A...
Artificial Intelligence for Scientific Discoveries : Extracting Physical Concepts from Experimental Data Using Deep Learning / Raban Iten
| Artificial Intelligence for Scientific Discoveries : Extracting Physical Concepts from Experimental Data Using Deep Learning / Raban Iten |
| Autore | Iten, Raban |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xiii, 170 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
68-XX - Computer science [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] |
| Soggetto non controllato |
AI-Scientist
Artificial Intelligence Automation of Physics Deep Learning Discovering Physical Laws Extracting Equations from Data Heliocentric Solar System Machine learning Neural networks Representation Learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00284817 |
|
Iten, Raban
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Artificial Intellige...
Beam Test Calorimeter Prototypes for the CMS Calorimeter Endcap Upgrade : Qualification, Performance Validation and Fast Generative Modelling : Doctoral Thesis accepted by the Rheinisch Westfälische Technische Hochschule, Aachen, Germany / Thorben Quast
| Beam Test Calorimeter Prototypes for the CMS Calorimeter Endcap Upgrade : Qualification, Performance Validation and Fast Generative Modelling : Doctoral Thesis accepted by the Rheinisch Westfälische Technische Hochschule, Aachen, Germany / Thorben Quast |
| Autore | Quast, Thorben |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxii, 277 p. : ill. ; 24 cm |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
85-XX - Astronomy and Astrophysics [MSC 2020] |
| Soggetto non controllato |
Calorimeter
Compact muon solenoid Deep Learning Generative Modelling Large Hadron Collider Particle physics Silicon |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00282286 |
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Quast, Thorben
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Beam Test Calorimete...
Big Data Privacy and Security in Smart Cities / Richard Jiang ... [et al.] editors
| Big Data Privacy and Security in Smart Cities / Richard Jiang ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | vi, 248 p. : ill. ; 24 cm |
| Soggetto topico |
68Pxx - Theory of data [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 91Gxx - Actuarial science and mathematical finance [MSC 2020] |
| Soggetto non controllato |
Cloud Security
Data encryption Deep Learning Forensics and Legislation Machine learning Medical Data Privacy and Security Issues Social media e-Commercial e-Governance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00283381 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Big Data Privacy and...
