Object detection and recognition is an important task in many document analysis applications. It is a difficult problem due to different page layouts and representation formats. Recently the deep learning in computer ...
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The paper is devoted to the circle covering problem with unequal circles. The number of circles is given. Also, we know a function, which determines a relation between the radii of two neighboring circles. The circle ...
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This paper describes a platform approach to the organization of digital environmental monitoring of the forest resources of the Baikal natural territory (BNT), some characteristics of the current state of forests in t...
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Today, PDF is one of the most popular document formats in the web. Many PDF documents are not images, but remain untagged. They have no tags for identifying the logical reading order, para- graphs, figures, and tables...
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ISBN:
(纸本)9781450344388
Today, PDF is one of the most popular document formats in the web. Many PDF documents are not images, but remain untagged. They have no tags for identifying the logical reading order, para- graphs, figures, and tables. One of the challenges with these doc- uments is how to extract tables from them. The paper discusses a new system for table structure recognition in untagged PDF doc- uments. It is formulated as a set of configurable parameters and ad-hoc heuristics for recovering table cells. We consider two dif- ferent configurations for the system and demonstrate experimental results based on the existing competition dataset for both of them.
The technology of forming a database of glaciers based on a set of WPS services is discussed in the article. Technology services are used to highlight the boundaries of the visible part of glaciers by satellite imager...
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The paper addresses relevant issues applying the concept of Industry 4.0 in related to modeling infrastructure objects at the Baikal natural territory that use environmentally friendly technologies. In particular, the...
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In this paper, we develop new methods of local and global search for finding optimistic solutions to the hierarchical problem of optimal pricing in telecommunication networks. These methods are based on the fact that ...
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We offer a specialized toolkit for automating both knowledge management when creating an applied microservices package and data accumulating during its application for scientific computations in a hybrid computing env...
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Though clustering is related to unsupervised machine learning and does not require any prior information on data items, in many real-life settings, there may be some expert knowledge on data labels or the properties o...
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The paper addresses a relevant problem of computation scheduling in scientific applications (distributed applied software packages) executed in distributed environments. Forming an optimal schedule of jobs for executi...
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