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نتیجه جستجو - Historical documents

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Precise detection of Chinese characters in historical documents with deep reinforcement learning
تشخیص دقیق حروف چینی در اسناد تاریخی با یادگیری تقویت عمیق-2020
The decision-making ability of deep reinforcement learning has been proved successfully in a variety of fields. Here, we use this method for precise character detection by making tight bounding boxes around the Chinese characters in historical documents. An agent is trained to learn the control policy of fine-tuning a bounding box step-by-step through a Markov Decision Process. We introduce a novel f ully c onvolutional n etwork with p osition-sensitive Region-of-Interest (RoI) pooling (FCPN). The network receives character patches as input without fixed size, and it can fuse position information into the fea- tures of actions. Besides, we propose a d ense r eward f unction (DRF) that provides excellent rewards ac- cording to different actions and environment states, improving the decision-making ability of the agent. Our approach is designed as a universal method that can be applied to the output of all character-level or word-level text detectors to obtain more precise detection results. Application to the Tripitaka Kore- ana in Han (TKH) and Multiple Tripitaka in Han (MTH) datasets confirm the very promising performance of this method. In particular, our approach yields a significant improvement under a large Intersection over Union (IoU) of 0.8. The robustness and generality are also proved by experiments on the scene text datasets ICDAR2013 and ICDAR2015.
Keywords: Deep reinforcement learning | Historical documents | Character detection | Reward function
مقاله انگلیسی
2 Understanding the historical institutional context by using content analysis of local policy and planning documents: Assessing the interactions between tourism and landscape on the Island of Terschelling in the Wadden Sea Region
درک زمینه سازمانی تاریخی با استفاده از تحلیل محتوایی سیاست محلی و اسناد برنامه ریزی: بررسی برهم کنش های بین گردشگری و منظره جزیره ترسچلینگ در منطقه دریایی وادان-2018
Content analysis is a valuable tool to identify changes in policy. By analysing historical documents, policymakers and planners can improve their understanding of the institutional context in which decisions were made. Using the Island of Terschelling in the UNESCO World Heritage Wadden region of the northern Netherlands as our example, we show how content analysis can be used to understand the historical institutional context. We analysed policy and planning documents from 1945 to 2015, which was supported by semi-structured interviews with local key informants. We specifically considered tourism–landscape interactions. Although there were fluctuations between socio-economic development and nature protection over time, we found that there has been an increasing awareness of synergy. Synergies are crucial to balance nature protection with socio-economic development and to increase the social-ecological resilience of regions. We conclude that, by using content analysis, local documents can be used as a proxy for the institutional context.
keywords: Tourism policy |Social-ecological systems |Nature-based tourism |Island studies |Protected area management |Natural resource management |Leisure and recreation |Path dependency
مقاله انگلیسی
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