Artificial Neural Networks And Machine Learning Icann 2021
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Author |
: Igor Farkaš |
Publisher |
: Springer Nature |
Total Pages |
: 703 |
Release |
: 2021-09-10 |
ISBN-10 |
: 9783030863807 |
ISBN-13 |
: 3030863808 |
Rating |
: 4/5 (07 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš
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 model compression, multi-task and multi-label learning, neural network theory, normalization and regularization methods, person re-identification, recurrent neural networks, and reinforcement learning. *The conference was held online 2021 due to the COVID-19 pandemic.
Author |
: Igor Farkaš |
Publisher |
: Springer Nature |
Total Pages |
: 708 |
Release |
: 2021-09-10 |
ISBN-10 |
: 9783030863654 |
ISBN-13 |
: 3030863654 |
Rating |
: 4/5 (54 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš
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.
Author |
: Igor Farkaš |
Publisher |
: Springer Nature |
Total Pages |
: 664 |
Release |
: 2021-09-10 |
ISBN-10 |
: 9783030863401 |
ISBN-13 |
: 3030863409 |
Rating |
: 4/5 (01 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš
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 computer vision and object detection, convolutional neural networks and kernel methods, deep learning and optimization, distributed and continual learning, explainable methods, few-shot learning and generative adversarial networks. *The conference was held online 2021 due to the COVID-19 pandemic.
Author |
: Igor Farkaš |
Publisher |
: Springer Nature |
Total Pages |
: 617 |
Release |
: 2021-09-11 |
ISBN-10 |
: 9783030863623 |
ISBN-13 |
: 303086362X |
Rating |
: 4/5 (23 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš
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 adversarial machine learning, anomaly detection, attention and transformers, audio and multimodal applications, bioinformatics and biosignal analysis, capsule networks and cognitive models. *The conference was held online 2021 due to the COVID-19 pandemic.
Author |
: Igor Farkaš |
Publisher |
: Springer Nature |
Total Pages |
: 705 |
Release |
: 2021-09-10 |
ISBN-10 |
: 9783030863838 |
ISBN-13 |
: 3030863832 |
Rating |
: 4/5 (38 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš
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 representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing. *The conference was held online 2021 due to the COVID-19 pandemic.
Author |
: Igor Farkaš |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 2021 |
ISBN-10 |
: 3030863816 |
ISBN-13 |
: 9783030863814 |
Rating |
: 4/5 (16 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning - ICANN 2021 by : Igor Farkaš
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 model compression, multi-task and multi-label learning, neural network theory, normalization and regularization methods, person re-identification, recurrent neural networks, and reinforcement learning. *The conference was held online 2021 due to the COVID-19 pandemic.
Author |
: Igor Farkaš |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 2021 |
ISBN-10 |
: 3030863662 |
ISBN-13 |
: 9783030863661 |
Rating |
: 4/5 (62 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning - ICANN 2021 by : Igor Farkaš
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.
Author |
: Michael Wand |
Publisher |
: Springer Nature |
Total Pages |
: 469 |
Release |
: |
ISBN-10 |
: 9783031723599 |
ISBN-13 |
: 3031723597 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2024 by : Michael Wand
Author |
: Michael Wand |
Publisher |
: Springer Nature |
Total Pages |
: 497 |
Release |
: |
ISBN-10 |
: 9783031723322 |
ISBN-13 |
: 3031723325 |
Rating |
: 4/5 (22 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2024 by : Michael Wand
Author |
: Michael Wand |
Publisher |
: Springer Nature |
Total Pages |
: 489 |
Release |
: |
ISBN-10 |
: 9783031723537 |
ISBN-13 |
: 3031723538 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Artificial Neural Networks and Machine Learning – ICANN 2024 by : Michael Wand