Similar Papers

Paper Title
Journal
Date
Author
Deep stable neural networks: Large-width asymptotics and convergence rates
Stefano Favaro ... Stefano Peluchetti
Bernoulli | VOL. 29
Stefano Favaro, et. al.Stefano Favaro ... Stefano Peluchetti
01 Aug 2023
Deep distributed convolutional neural networks: Universality
Ding-Xuan Zhou
Analysis and Applications | VOL. 16
Ding-Xuan ZhouDing-Xuan Zhou
01 Nov 2018
An Interactive Visualization for Feature Localization in Deep Neural Networks.
Martin Zurowietz ... Tim W Nattkemper
Frontiers in Artificial Intelligence | VOL. 3
Martin Zurowietz, et. al.Martin Zurowietz ... Tim W Nattkemper
23 Jul 2020
Stress detection using deep neural networks
Russell Li ... Zhandong Liu
BMC Medical Informatics and Decision Making | VOL. 20
Russell Li, et. al.Russell Li ... Zhandong Liu
01 Dec 2020
View more papers

More From: Signal, Image and Video Processing

Paper Title
Journal
Date
Author
Machine learning pipelines for IoT botnet detection and behavior characterization in heavily imbalanced settings
Djordje D Jovanović ... Pavle V Vuletić
Signal, Image and Video Processing | VOL. -
Djordje D Jovanović, et. al.Djordje D Jovanović ... Pavle V Vuletić
28 Jan 2025
Enhancing video pedestrian detection with tracking-information-aided framework and multi-scale feature optimization
Haifeng Sang ... Pengkai Suo
Signal, Image and Video Processing | VOL. -
Haifeng Sang, et. al.Haifeng Sang ... Pengkai Suo
28 Jan 2025
Dung beetle optimization with composite population initialization and multi-strategy learning for multi-level threshold image segmentation
Zhidan Li ... Wenjing Pu
Signal, Image and Video Processing | VOL. -
Zhidan Li, et. al.Zhidan Li ... Wenjing Pu
28 Jan 2025
Re-scaling images using a SVD-based approach
M Motylinski ... J E Higham
Signal, Image and Video Processing | VOL. 19
M Motylinski, et. al.M Motylinski ... J E Higham
28 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.