Artificial Neural Networks and Machine Learning – ICANN 2021

Artificial Neural Networks and Machine Learning – ICANN 2021
Author :
Publisher : Springer Nature
Total Pages : 703
Release :
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.

Artificial Neural Networks and Machine Learning – ICANN 2021

Artificial Neural Networks and Machine Learning – ICANN 2021
Author :
Publisher : Springer Nature
Total Pages : 708
Release :
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.

Artificial Neural Networks and Machine Learning – ICANN 2021

Artificial Neural Networks and Machine Learning – ICANN 2021
Author :
Publisher : Springer Nature
Total Pages : 664
Release :
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.

Artificial Neural Networks and Machine Learning – ICANN 2021

Artificial Neural Networks and Machine Learning – ICANN 2021
Author :
Publisher : Springer Nature
Total Pages : 617
Release :
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.

Artificial Neural Networks and Machine Learning – ICANN 2021

Artificial Neural Networks and Machine Learning – ICANN 2021
Author :
Publisher : Springer Nature
Total Pages : 705
Release :
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.

Artificial Neural Networks and Machine Learning - ICANN 2021

Artificial Neural Networks and Machine Learning - ICANN 2021
Author :
Publisher :
Total Pages : 0
Release :
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.

Artificial Neural Networks and Machine Learning - ICANN 2021

Artificial Neural Networks and Machine Learning - ICANN 2021
Author :
Publisher :
Total Pages : 0
Release :
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.