Skip to main content

Research Repository

Advanced Search

Outputs (150)

Fame or function? How webcomic artists choose where to share (2015)
Presentation / Conference Contribution
Dowthwaite, L., Houghton, R., & Mortier, R. (2015, April). Fame or function? How webcomic artists choose where to share. Presented at Ergonomics and Human Factors 2015, Daventry, UK

Online social networks are complex systems that are traditionally discussed in several different ways, often revolving around either the technology and design of the platforms themselves, or the behaviour and social interactions of the communities th... Read More about Fame or function? How webcomic artists choose where to share.

The Fallacy of Endogenous Discounting of Trust Recommendations (2015)
Presentation / Conference Contribution
Muller, T., Liu, Y., & Zhang, J. (2015, May). The Fallacy of Endogenous Discounting of Trust Recommendations. Presented at 2015 International Conference on Autonomous Agents and Multiagent Systems, Istanbul, Turkey

Recommendations are widely used in recommender systems, reputation systems, and trust-based security systems. Some existing reputation systems and trust-based security systems use the flawed notion of endogenous discounting. Endogenous discounting is... Read More about The Fallacy of Endogenous Discounting of Trust Recommendations.

Ethics of Personalized Information Filtering (2015)
Book Chapter
Carter, C. J., Koene, A., Perez, E., Statache, R., Adolphs, S., O’Malley, C., Rodden, T., & McAuley, D. (2015). Ethics of Personalized Information Filtering. In Internet Science (123-132). Springer Verlag. https://doi.org/10.1007/978-3-319-18609-2_10

Online search engines, social media, news sites and retailers are all investing heavily in the development of ever more refined information filtering to optimally tune their services to the specific demands of their individual users and customers. In... Read More about Ethics of Personalized Information Filtering.

Using Information Theory to Improve the Robustness of Trust Systems (2015)
Presentation / Conference Contribution
Wang, D., Muller, T., Irissappane, A. A., Zhang, J., & Liu, Y. (2015, May). Using Information Theory to Improve the Robustness of Trust Systems. Presented at AAMAS'15: International Conference on Autonomous Agents and Multiagent Systems, Istanbul Turkey

Unfair rating attacks to trust systems can affect the accuracy of trust evaluation when trust ratings (recommendations) about trustee agents are sought by truster agents from others (advisor agents). A robust trust system should remain accurate, even... Read More about Using Information Theory to Improve the Robustness of Trust Systems.

Sonifying the Scene: re-framing and manipulating meaning through audio augmentation (2015)
Presentation / Conference Contribution
Chamberlain, A., & Hazzard, A. Sonifying the Scene: re-framing and manipulating meaning through audio augmentation. Presented at DMRN+10: Digital Music Research Network One-day Workshop 2015

Digital locative music technologies are transforming the ways in which we are able to manipulate and re-frame the meaning of architecture, landscape and art. In this note we explore and outline some of the key features that are associated with this.... Read More about Sonifying the Scene: re-framing and manipulating meaning through audio augmentation.

Understanding social media and sound: music, meaning and membership, the case of SoundCloud (2015)
Presentation / Conference Contribution
Chamberlain, A., McGrath, S., & Benford, S. Understanding social media and sound: music, meaning and membership, the case of SoundCloud. Presented at DMRN+10: Digital Music Research Network One-day Workshop 2015

Social media technologies have meant that people’s mu- sic consumption and production practices have rapidly changed and evolved. In this paper, we start to explore and present some of our initial findings in respect to this growing area of research... Read More about Understanding social media and sound: music, meaning and membership, the case of SoundCloud.

Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem (2015)
Presentation / Conference Contribution
Laesanklang, W., Pinheiro, R. L., Algethami, H., & Landa-Silva, D. (2015, January). Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem. Presented at 4th International Conference, ICORES 2015, Lisbon, Portugal

© Springer International Publishing Switzerland 2015. We propose an approach based on mixed integer programming (MIP) with decomposition to solve a workforce scheduling and routing problem, in which a set of workers should be assigned to tasks that a... Read More about Extended decomposition for mixed integer programming to solve a workforce scheduling and routing problem.

TRIC-track: tracking by regression with incrementally learned cascades (2015)
Presentation / Conference Contribution
Wang, X., Valstar, M. F., Martinez, B., Khan, M. H., & Pridmore, T. (2015, December). TRIC-track: tracking by regression with incrementally learned cascades. Presented at 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile

This paper proposes a novel approach to part-based track- ing by replacing local matching of an appearance model by direct prediction of the displacement between local image patches and part locations. We propose to use cascaded regression with incre... Read More about TRIC-track: tracking by regression with incrementally learned cascades.

Leaf segmentation in plant phenotyping: a collation study (2015)
Journal Article
Scharr, H., Minervini, M., French, A. P., Klukas, C., Kramer, D. M., Liu, X., Luengo, I., Pape, J.-M., Polder, G., Vukadinovic, D., Yin, X., & Tsaftaris, S. A. (2016). Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications, 27(4), 585-606. https://doi.org/10.1007/s00138-015-0737-3

Image-based plant phenotyping is a growing application area of computer vision in agriculture. A key task is the segmentation of all individual leaves in images. Here we focus on the most common rosette model plants, Arabidopsis and young tobacco. Al... Read More about Leaf segmentation in plant phenotyping: a collation study.

Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images (2015)
Journal Article
Mairhofer, S., Johnson, J., Sturrock, C., Bennett, M. J., Mooney, S. J., & Pridmore, T. P. (2016). Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images. Machine Vision and Applications, 27(5), 721-734. https://doi.org/10.1007/s00138-015-0733-7

We propose a visual object tracking framework for the extraction of multiple interacting plant root systems from three-dimensional X-ray micro computed tomography images of plants grown in soil. Our method is based on a level set framework guided by... Read More about Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images.