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 Benjamin Edwards

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Average citations per article1.50
Citation Count6
Publication count4
Publication years2014-2017
Available for download1
Average downloads per article319.00
Downloads (cumulative)319
Downloads (12 Months)88
Downloads (6 Weeks)4
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January 2017 Neural Computing and Applications: Volume 28 Issue 1, January 2017
Publisher: Springer-Verlag
Citation Count: 2

Context of data points, which is usually defined as the other data points in a data set, has been found to paly important roles in data representation and classification. In this paper, we study the problem of using context of a data point for its classification problem. Our work is ...
Keywords: Context, Nearest neighbors, Sparse regularization, Data representation, Pattern classification

2 published by ACM
November 2015 Journal on Computing and Cultural Heritage (JOCCH): Volume 9 Issue 1, February 2016
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 88,   Downloads (Overall): 319

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By collecting images of heritage assets from members of the public and processing them to create 3D-reconstructed models, the HeritageTogether project has accomplished the digital recording of nearly 80 sites across Wales, UK. A large amount of data has been collected and produced in the form of photographs, 3D models, ...
Keywords: crowd-sourced data, Automated photogrammetry

October 2015 ISNN 2015: Proceedings of the 12th International Symposium on Advances in Neural Networks --- ISNN 2015 - Volume 9377
Publisher: Springer-Verlag New York, Inc.
Citation Count: 2

In this paper, we study the problem of using contextual data points of a data point for its classification problem. We propose to represent a data point as the sparse linear reconstruction of its context, and learn the sparse context to gather with a linear classifier in a supervised way ...
Keywords: Pattern classification, Nearest neighbors, Sparse regularization, Context learning

October 2014 CW '14: Proceedings of the 2014 International Conference on Cyberworlds
Publisher: IEEE Computer Society
Citation Count: 1

With the rise of digital content and web-based technologies, archaeologists and heritage organisations are increasingly striving to produce digital records of archaeology and heritage sites. The large numbers and geographical spread of these sites means that it would be too time-consuming for any one team to survey them. To meet ...
Keywords: photogrammetry, co-production, archaeology

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