Microblogs like Twitter(1) are sources for a lot of useful information. But these information are unstructured. To automatically process it, these information have to be extracted withthe help of natural language pro...
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Microblogs like Twitter(1) are sources for a lot of useful information. But these information are unstructured. To automatically process it, these information have to be extracted withthe help of natural language processing techniques. Corresponding systems for information extraction have to be trained and validated with manual annotated data. this paper presents an approach for the cooperative creation of annotated corpora for training and validation of information extraction systems supported by statistical analyses. (C) 2016 the Authors. Published by Elsevier B.V.
Human pose estimation is an essential task in computer vision, applied in motion recognition, motion capture, augmented reality, etc. the emergence of Lite HRNet balances computational complexity with high precision, ...
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Unobtrusive educational assessment is a means of measuring student progress using the byproducts of authentic learning activities. It is difficult to perform well. Using a new technology based on graphical models, uno...
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ISBN:
(纸本)9780769529165
Unobtrusive educational assessment is a means of measuring student progress using the byproducts of authentic learning activities. It is difficult to perform well. Using a new technology based on graphical models, unobtrusive assessment can become more practical. We describe how we apply our techniques in teaching image processing to undergraduates. Our methods for unobtrusive assessment are applicable when learning activities are computer-based and involve the manipulation of tools such as construction kits, simulations, and programming languages.
In recent years, deep learning has become a research hotspot in computer and image processing. this paper applies the deep learning method to water extraction from single-polarization SAR images. the improved Gamma Ma...
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Recently, how to handle the situation where only a few samples in the dataset are labeled has become a hot academic topic. Semi-Supervised Learning (SSL) has shown its great capacity and potential in this topic. Howev...
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this work presents a brief review of the concepts of Adaptive Automata, detailing its mechanism of operation and main fields of application, highlighting the great potential of use in the field of natural language pro...
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this work presents a brief review of the concepts of Adaptive Automata, detailing its mechanism of operation and main fields of application, highlighting the great potential of use in the field of natural language processing. Also, it is proposed Linguistico, an adaptive parser for Brazilian Portuguese, designed to dynamically modify its configuration, being able to insert and delete rules and change its behavior during execution. the effectiveness of the proposed framework is experimentally proven and the results obtained are comparable to the state of the art. (C) 2017the Authors. Published by Elsevier B.V.
Recently, there has been an upsurge in publicly available remote sensing image classification datasets. Standard CNNs and pre-trained architectures have been applied for scene classification tasks. However, transfer l...
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In this paper, we propose a framework for improving Background Subtraction techniques. this framework is based on two types of data, RGB and Depth. Our study stands for obtaining preliminary results of the background ...
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A space-air-ground integrated network composed of satellite, unmanned aerial vehicles (UAVs) and Internet of things (IoT) devices is constructed to collect the wide-area information in this paper. the IoT devices sens...
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this paper aims to look at the computer and Internet related beliefs among Estonian computer users and non-users. It uses data from two nationally representative surveys to analyze seven Internet and computer related ...
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ISBN:
(纸本)0387378758
this paper aims to look at the computer and Internet related beliefs among Estonian computer users and non-users. It uses data from two nationally representative surveys to analyze seven Internet and computer related beliefs. the paper also discusses how understanding the opinions of computer users and non-users should influence the policies of the information society. As a conclusion, policy suggestions on visibility of the technologies, digital literacy, and data monitoring needs are made.
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