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All Outputs (191)

Convolutional aggregation of local evidence for large pose face alignment (2016)
Presentation / Conference Contribution
Bulat, A., & Tzimiropoulos, G. (2016). Convolutional aggregation of local evidence for large pose face alignment.

Methods for unconstrained face alignment must satisfy two requirements: they must not rely on accurate initialisation/face detection and they should perform equally well for the whole spectrum of facial poses. To the best of our knowledge, there are... Read More about Convolutional aggregation of local evidence for large pose face alignment.

Enhancing the searchability of page-image PDF documents using an aligned hidden layer from a truth text (2016)
Presentation / Conference Contribution
Knight, I. A., & Brailsford, D. F. (2016). Enhancing the searchability of page-image PDF documents using an aligned hidden layer from a truth text.

The search accuracy achieved in a PDF image-plus-hidden- text (PDF-IT) document depends upon the accuracy of the optical character recognition (OCR) process that produced the searchable hidden text layer. In many cases recognising words in a blurred... Read More about Enhancing the searchability of page-image PDF documents using an aligned hidden layer from a truth text.

Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem (2016)
Journal Article
Asta, S., Karapetyan, D., Kheiri, A., Özcan, E., & Parkes, A. J. (2016). Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem. Information Sciences, 373, 476-498. https://doi.org/10.1016/j.ins.2016.09.010

Multi-mode resource and precedence-constrained project scheduling is a well-known challenging real-world optimisation problem. An important variant of the problem requires scheduling of activities for multiple projects considering availability of loc... Read More about Combining Monte-Carlo and hyper-heuristic methods for the multi-mode resource-constrained multi-project scheduling problem.

Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems (2016)
Journal Article
Radenkovic, M., Crowcroft, J., & Rehmani, M. H. (2016). Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems. IEEE Access, 4, 5309-5321. https://doi.org/10.1109/ACCESS.2016.2606501

Fast emerging mobile edge computing, mobile clouds, Internet of Things (IoT) and cyber physical systems require many novel realistic real time multi-layer algorithms for a wide range of domains, such as intelligent content provision and processing, s... Read More about Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems.

New directions for preserving intangible cultural heritage through the use of mobile technologies (2016)
Presentation / Conference Contribution
Papangelis, K., Chamberlain, A., & Hai-Ning, L. (2016). New directions for preserving intangible cultural heritage through the use of mobile technologies.

While many cultural heritage projects currently exist, few explore the full potential of mobile technologies as a mechanism to explore intangible heritage as a way to preserve culture. This paper outlines three distinct areas necessary for the design... Read More about New directions for preserving intangible cultural heritage through the use of mobile technologies.

Audio in place: media, mobility & HCI: creating meaning in space (2016)
Presentation / Conference Contribution
Chamberlain, A., Bødker, M., Hazzard, A., & Benford, S. (2016). Audio in place: media, mobility & HCI: creating meaning in space. . https://doi.org/10.1145/2957265.2964195

Audio-based content, location and mobile technologies can offer a multitude of interactional possibilities when combined in innovative and creative ways. It is important not to underestimate impact of the interplay between location, place and sound.... Read More about Audio in place: media, mobility & HCI: creating meaning in space.

Using web applications for data visualisation (2016)
Presentation / Conference Contribution
Glover, T. (2016). Using web applications for data visualisation.

In this paper, we describe the evolution of web-based applications in the context of data visualization, with respect to the capabilities of modern day browsers in terms of performance and graphical complexity.

How to design Internet of Things to encourage office workers to take more regular micro-breaks (2016)
Presentation / Conference Contribution
Huang, Y. (2016). How to design Internet of Things to encourage office workers to take more regular micro-breaks.

Prolonged sitting at work has become a new health hazard for office workers. The current PhD is thus dedicated to exploring the potential of Internet of Things (IoT) for supporting healthier office work and break routines. An "enchanted object" appro... Read More about How to design Internet of Things to encourage office workers to take more regular micro-breaks.

An ethnographic exploration of studio production practice (2016)
Presentation / Conference Contribution
McGrath, S., Hazzard, A., Chamberlain, A., & Benford, S. (2016). An ethnographic exploration of studio production practice.

Tools for music production range from full scale digital production workstations to context-driven plugins. There are a number of inherent challenges to address in supporting users at different stages of work and at different levels of technical skil... Read More about An ethnographic exploration of studio production practice.

Qualitative Spatial Logics for Buffered Geometries (2016)
Journal Article
Du, H., & Alechina, N. (in press). Qualitative Spatial Logics for Buffered Geometries. Journal of Artificial Intelligence Research, 56, 693-745. https://doi.org/10.1613/jair.5140

This paper describes a series of new qualitative spatial logics for checking consistency of sameAs and partOf matches between spatial objects from different geospatial datasets, especially from crowd-sourced datasets. Since geometries in crowd-source... Read More about Qualitative Spatial Logics for Buffered Geometries.

Self-adaptation of mutation rates in non-elitist populations (2016)
Presentation / Conference Contribution
Lehre, P. K., & Dang, D.-C. (2016). Self-adaptation of mutation rates in non-elitist populations. In Parallel problem solving from nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, proceedings. https://doi.org/10.1007/978-3-319-45823-6_75

The runtime of evolutionary algorithms (EAs) depends critically on their parameter settings, which are often problem-specific. Automated schemes for parameter tuning have been developed to alleviate the high costs of manual parameter tuning. Experime... Read More about Self-adaptation of mutation rates in non-elitist populations.

Populations can be essential in tracking dynamic optima (2016)
Journal Article
Dang, D.-C., Jansen, T., & Lehre, P. K. (in press). Populations can be essential in tracking dynamic optima. Algorithmica, https://doi.org/10.1007/s00453-016-0187-y

Real-world optimisation problems are often dynamic. Previously good solutions must be updated or replaced due to changes in objectives and constraints. It is often claimed that evolutionary algorithms are particularly suitable for dynamic optimisatio... Read More about Populations can be essential in tracking dynamic optima.

Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques (2016)
Journal Article
Dupre, R., Argyriou, V., Tzimiropoulos, G., & Greenhill, D. (2016). Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques. Information Sciences, 372, https://doi.org/10.1016/j.ins.2016.08.075

In this paper, the notion of risk analysis within 3D scenes using vision based techniques is introduced. In particular the problem of risk estimation of indoor environments at the scene and object level is considered, with applications in domestic ro... Read More about Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques.

A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings (2016)
Journal Article
Özcan, E., Drake, J. H., Altıntaş, C., & Asta, S. (2016). A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings. Applied Soft Computing, 49, https://doi.org/10.1016/j.asoc.2016.07.032

Memetic algorithms are a class of well-studied metaheuristics which combine evolutionary algorithms and local search techniques. A meme represents contagious piece of information in an adaptive information sharing system. The canonical memetic algori... Read More about A self-adaptive multimeme memetic algorithm co-evolving utility scores to control genetic operators and their parameter settings.

EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data (2016)
Journal Article
Vluymans, S., Triguero, I., Cornelis, C., & Saeys, Y. (2016). EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data. Neurocomputing, 216, https://doi.org/10.1016/j.neucom.2016.08.026

Classification problems with an imbalanced class distribution have received an increased amount of attention within the machine learning community over the last decade. They are encountered in a growing number of real-world situations and pose a chal... Read More about EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.

Privacy in public spaces: what expectations of privacy do we have in social media intelligence? (2016)
Journal Article
Edwards, L., & Urquhart, L. (2016). Privacy in public spaces: what expectations of privacy do we have in social media intelligence?. International Journal of Law and Information Technology, 24(3), 279-310. https://doi.org/10.1093/ijlit/eaw007

In this paper we give an introduction to the transition in contemporary surveillance from top down traditional police surveillance to profiling and “pre-crime” methods. We then review in more detail the rise of open source (OSINT) and social media (S... Read More about Privacy in public spaces: what expectations of privacy do we have in social media intelligence?.

Modelling cyber-security experts' decision making processes using aggregation operators (2016)
Journal Article
Miller, S., Wagner, C., Aickelin, U., & Garibaldi, J. M. (2016). Modelling cyber-security experts' decision making processes using aggregation operators. Computers and Security, 62, 229-245. https://doi.org/10.1016/j.cose.2016.08.001

An important role carried out by cyber-security experts is the assessment of proposed computer systems, during their design stage. This task is fraught with difficulties and uncertainty, making the knowledge provided by human experts essential for su... Read More about Modelling cyber-security experts' decision making processes using aggregation operators.

“We don’t sell blocks” exploring Minecraft’s commissioning market (2016)
Presentation / Conference Contribution
Koutsouras, P., Martindale, S., & Crabtree, A. (2016). “We don’t sell blocks” exploring Minecraft’s commissioning market.

In recent years, we have experienced the proliferation of videogames that have, as their main mode of play, the creation of in-game content. Even though existing literature has looked into various characteristics of these games, one of their aspects... Read More about “We don’t sell blocks” exploring Minecraft’s commissioning market.

Enabling the new economic actor: data protection, the digital economy, and the Databox (2016)
Journal Article
Crabtree, A., Lodge, T., Colley, J., Greenhalgh, C., Mortier, R., & Haddadi, H. (2016). Enabling the new economic actor: data protection, the digital economy, and the Databox. Personal and Ubiquitous Computing, 20(6), 947-957. https://doi.org/10.1007/s00779-016-0939-3

© 2016, The Author(s). This paper offers a sociological perspective on data protection regulation and its relevance to design. From this perspective, proposed regulation in Europe and the USA seeks to create a new economic actor—the consumer as perso... Read More about Enabling the new economic actor: data protection, the digital economy, and the Databox.