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Advances in Data Clustering : Theory and Applications / / edited by Fadi Dornaika, Denis Hamad, Joseph Constantin, Vinh Truong Hoang
| Advances in Data Clustering : Theory and Applications / / edited by Fadi Dornaika, Denis Hamad, Joseph Constantin, Vinh Truong Hoang |
| Autore | Dornaika Fadi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (225 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
HamadDenis
ConstantinJoseph HoangVinh Truong |
| Soggetto topico |
Data mining
Artificial intelligence - Data processing Information modeling Computer vision Data Mining and Knowledge Discovery Data Science Information Model Computer Vision |
| ISBN |
9789819776795
9819776791 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Classification of Gougerot-Sjögren syndrome Based on Artificial Intelligence -- Chapter 2 Deep learning Classification of Venous Thromboembolism based on Ultrasound imaging -- Chapter 3 Synchronization-Driven Community Detection: Dynamic Frequency Tuning Approach -- Chapter 4 Automatic Evolutionary Clustering for Human Activity Discovery -- Chapter 5 Identification of Correlated factors for Absenteeism of employees using Clustering techniques -- Chapter 6 Multi-view Data Clustering through Consensus Graph and Data Representation Learning -- Chapter 7 Uber’s Contribution to Faster Deep Learning: A Case Study in Distributed Model Training -- Chapter 8 Auto-Weighted Multi-View Clustering with Unified Binary Representation and Deep Initialization -- Chapter 9 Clustering with Adaptive Unsupervised Graph Convolution Network -- Chapter 10 Graph-based Semi-supervised Learning for Multi-view Data Analysis -- Chapter 11 Advancements in Fuzzy Clustering Algorithms for Im-age Processing: A Comprehensive Review and Future Directions -- Chapter 12 Multiview Latent representation learning with feature diversity for clustering. |
| Record Nr. | UNINA-9910920445903321 |
Dornaika Fadi
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Quality Assessment of Computer-generated Images : Based on Machine Learning and Soft Computing / / by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin
| Image Quality Assessment of Computer-generated Images : Based on Machine Learning and Soft Computing / / by André Bigand, Julien Dehos, Christophe Renaud, Joseph Constantin |
| Autore | Bigand André |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (96 pages) |
| Disciplina | 006.6869 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Optical data processing
Computational intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computational Intelligence |
| ISBN | 3-319-73543-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Monte-Carlo Methods for Image Synthesis -- Visual Impact of Rendering on Image Quality -- Full-reference Methods and Machine Learning -- No-reference Methods and Fuzzy Sets -- Reduced-reference Methods -- Conclusion. |
| Record Nr. | UNINA-9910299459103321 |
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Bigand André
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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