Digitizing History: Transitioning Historical Paper Documents to Digital Content for Information Retrieval and Mining—A Comprehensive Survey

N Girdhar, M Coustaty, A Doucet - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Historical document processing (HDP) corresponds to the task of converting the physical-
bind form of historical archives into a web-based centrally digitized form for their …

A Deep Learning Approach for Arabic Manuscripts Classification

LS Al-Homed, KM Jambi, HM Al-Barhamtoshy - Sensors, 2023 - mdpi.com
For centuries, libraries worldwide have preserved ancient manuscripts due to their immense
historical and cultural value. However, over time, both natural and human-made factors have …

Unsupervised approach to text line extraction in Belfort civil registers of births

W Alkendi, F Gechter, L Heyberger… - International Journal on …, 2024 - Springer
Historical documents are invaluable resources for understanding the development of
civilizations and cultures. However, the transcription process of these documents comprises …

A Small-Footprint Keyword Spotting Modeling with Novel Data Augmentation Methods

WK Huang, KY Chen - 2024 International Joint Conference on …, 2024 - ieeexplore.ieee.org
Keyword spotting (KWS) system is an important human-computer interaction medium in
smart devices. However, requiring the KWS model to maintain robust performance with a …

[HTML][HTML] 基于预训练–微调策略的电影票房预测

赵瑞, 张明西, 杨薪, 钟昌梅, 王博闻… - Modeling and …, 2024 - hanspub.org
有监督学习模型对数据量有着较高的依赖, 然而现有电影票房数据集较少, 导致预测精度降低.
针对上述问题, 提出一种基于预训练–微调策略的电影票房预测模型. 利用电影评分和电影票房之 …