Artificial Neural Networks and Machine Learning – ICANN 2021
Download or Read eBook Artificial Neural Networks and Machine Learning – ICANN 2021 PDF written by Igor Farkaš and published by Springer Nature. This book was released on 2021-09-10 with total page 708 pages. Available in PDF, EPUB and Kindle.
| Author | : Igor Farkaš |
| Publisher | : Springer Nature |
| Total Pages | : 708 |
| Release | : 2021-09-10 |
| ISBN-10 | : 9783030863654 |
| ISBN-13 | : 3030863654 |
| Rating | : 4/5 (54 Downloads) |
Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš
Book excerpt: The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as generative neural networks, graph neural networks, hierarchical and ensemble models, human pose estimation, image processing, image segmentation, knowledge distillation, and medical image processing. *The conference was held online 2021 due to the COVID-19 pandemic.
