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All Outputs (115)

Inertial-visual pose tracking using optical flow-aided particle filtering (2014)
Conference Proceeding
Moemeni, A., & Tatham, E. (2014). Inertial-visual pose tracking using optical flow-aided particle filtering. In 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP). https://doi.org/10.1109/cimsivp.2014.7013296

This paper proposes an algorithm for visual-inertial camera pose tracking, using adaptive recursive particle filtering. The method benefits from the agility of inertial-based and robustness of vision-based tracking. A proposal distribution has been d... Read More about Inertial-visual pose tracking using optical flow-aided particle filtering.

Exploring the Relationship between Location and Behaviour in Out of Hours Hospital Care (2014)
Conference Proceeding
Brown, M., Pinchin, J., Blum, J., Sharples, S., Shaw, D., Housley, G., …Blakey, J. (2014). Exploring the Relationship between Location and Behaviour in Out of Hours Hospital Care. In HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Proceedings, Part II (395-400). https://doi.org/10.1007/978-3-319-07854-0_69

'Out of Hours' (OoH) hospital care involves a small number of doctors covering a very large number of patients. These doctors are working in stressful environments, performing complex tasks and making difficult task prioritisation decisions, yet litt... Read More about Exploring the Relationship between Location and Behaviour in Out of Hours Hospital Care.

Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers (2014)
Journal Article
Havens, T. C., Anderson, D. T., & Wagner, C. (2015). Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers. IEEE Transactions on Fuzzy Systems, 23(5), https://doi.org/10.1109/TFUZZ.2014.2382133

The fuzzy integral (FI) with respect to a fuzzy measure (FM) is a powerful means of aggregating information. The most popular FIs are the Choquet and Sugeno, and most research focuses on these two variants. The arena of the FM is much more populated,... Read More about Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers.

A tensor-based selection hyper-heuristic for cross-domain heuristic search (2014)
Journal Article
Asta, S., & Özcan, E. (2015). A tensor-based selection hyper-heuristic for cross-domain heuristic search. Information Sciences, 299, https://doi.org/10.1016/j.ins.2014.12.020

Hyper-heuristics have emerged as automated high level search methodologies that manage a set of low level heuristics for solving computationally hard problems. A generic selection hyper-heuristic combines heuristic selection and move acceptance metho... Read More about A tensor-based selection hyper-heuristic for cross-domain heuristic search.

An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex (2014)
Conference Proceeding
Asta, S., & Özcan, E. (2014). An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex. In 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). https://doi.org/10.1109/EALS.2014.7009505

Apprenticeship learning occurs via observations while an expert is in action. A hyper-heuristic is a search method or a learning mechanism that controls a set of low level heuristics or combines different heuristic components to generate heuristics f... Read More about An apprenticeship learning hyper-heuristic for vehicle routing in HyFlex.

A feasibility study of an in-the-wild experimental public access WiFi network (2014)
Conference Proceeding
Sathiaseelan, A., Mortier, R., Goulden, M., Greiffenhagen, C., Radenkovic, M., Crowcroft, J., & McAuley, D. (2014). A feasibility study of an in-the-wild experimental public access WiFi network. In Proceedings of the Fifth ACM Symposium on Computing for Development - ACM DEV-5 '14 (33-42). https://doi.org/10.1145/2674377.2674383

© 2014 ACM. Universal Internet access has become critical to modern life, leading to many explorations of approaches to increase its availability. In this paper we report on a study of one such approach, PAWS, that seeks to understand the technical a... Read More about A feasibility study of an in-the-wild experimental public access WiFi network.

Hybridising heuristics within an estimation distribution algorithm for examination timetabling (2014)
Journal Article
Qu, R., Pham, D. N. T., Bai, R., & Kendall, G. (2015). Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Applied Intelligence, 42(4), 679-693. https://doi.org/10.1007/s10489-014-0615-0

This paper presents a hybrid hyper-heuristic approach based on estimation distribution algorithms. The main motivation is to raise the level of generality for search methodologies. The objective of the hyper-heuristic is to produce solutions of accep... Read More about Hybridising heuristics within an estimation distribution algorithm for examination timetabling.

Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel (2014)
Journal Article
Dror, M., Kendall, G., & Rapoport, A. (2016). Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel. IEEE Transactions on Computational Intelligence and AI in Games, 8(3), https://doi.org/10.1109/TCIAIG.2014.2377250

Goofspiel is a simple two-person zero-sum game for which there exist no known equilibrium strategies. To gain insight into what constitute winning strategies, we conducted a round-robin tournament in which participants were asked to provide computeri... Read More about Elicitation of strategies in four variants of a round-robin tournament: the case of Goofspiel.

On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images (2014)
Journal Article
Mairhofer, S., Sturrock, C., Wells, D. M., Bennett, M. J., Mooney, S. J., & Pridmore, T. P. (2014). On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images. Functional Plant Biology, 42(5), 460-470. https://doi.org/10.1071/FP14071

© CSIRO 2015. X-ray microcomputed tomography (μCT) allows nondestructive visualisation of plant root systems within their soil environment and thus offers an alternative to the commonly used destructive methodologies for the examination of plant root... Read More about On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images.

Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age (2014)
Conference Proceeding
Hoare, M., Benford, S., Greenhalgh, C., & Chamberlain, A. (2014). Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age.

A fast expanding network of DIY music communities in the UK see digital technologies transforming ways in which part-time amateur musicians are able to collabo- rate creatively and form alliances, producing unique per- formance techniques, experiment... Read More about Doing it for themselves: the practices of amateur musicians and DIY music networks in a digital age.

Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion (2014)
Thesis
Moemeni, A. (2014). Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion. (Thesis). Centre for Computational Intelligence (CCI) - De Montfort University. Retrieved from https://nottingham-repository.worktribe.com/output/4780253

This thesis presents a framework for a hybrid model-free marker-less inertial-visual camera pose tracking with an integrated sensor fusion mechanism. The proposed solution addresses the fundamental problem of pose recovery in computer vision and robo... Read More about Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion.

The immersive effect of adaptive architecture (2014)
Journal Article
Schnädelbach, H., Slovák, P., Fitzpatrick, G., & Jäger, N. (2016). The immersive effect of adaptive architecture. Pervasive and Mobile Computing, 25, 143-152. https://doi.org/10.1016/j.pmcj.2014.11.006

© 2014 Elsevier B.V. All rights reserved. This paper explores the role of immersion in the generation of specific interactive effects, within the context of the emerging research field of Adaptive Architecture. Drawing on an existing biofeedback-driv... Read More about The immersive effect of adaptive architecture.

Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling (2014)
Journal Article
Li, J., Bai, R., Shen, Y., & Qu, R. (in press). Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling. European Journal of Operational Research, 242(3), https://doi.org/10.1016/j.ejor.2014.11.002

This paper presents a state transition based formal framework for a new search method, called Evolutionary Ruin and Stochastic Recreate, which tries to learn and adapt to the changing environments during the search process. It improves the performanc... Read More about Search with evolutionary ruin and stochastic rebuild: a theoretic framework and a case study on exam timetabling.

Active orientation models for face alignment in-the-wild (2014)
Journal Article
Tzimiropoulos, G., Medina, J. A., Zafeiriou, S., & Pantic, M. (2014). Active orientation models for face alignment in-the-wild. IEEE Transactions on Information Forensics and Security, 9(12), https://doi.org/10.1109/TIFS.2014.2361018

We present Active Orientation Models (AOMs), generative models of facial shape and appearance, which extend the well-known paradigm of Active Appearance Models (AAMs) for the case of generic face alignment under unconstrained conditions. Robustness s... Read More about Active orientation models for face alignment in-the-wild.

Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification (2014)
Conference Proceeding
Torres Torres, M., & Qiu, G. (2014). Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification. In MAED '14: Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data, 19-24. doi:10.1145/2661821.2661824

Habitat classification is a crucial activity for monitoring environmental biodiversity. To date, manual methods, which are laborious, time-consuming and expensive, remain the most successful alternative. Most automatic methods use remote-sensed image... Read More about Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification.

A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization (2014)
Journal Article
Lwin, K., Qu, R., & Kendall, G. (2014). A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization. Applied Soft Computing, 24, https://doi.org/10.1016/j.asoc.2014.08.026

Portfolio optimization involves the optimal assignment of limited capital to different available financial assets to achieve a reasonable trade-off between profit and risk objectives. In this paper, we studied the extended Markowitz's mean-variance p... Read More about A learning-guided multi-objective evolutionary algorithm for constrained portfolio optimization.

HOG active appearance models (2014)
Conference Proceeding
Antonakos, E., Alabort-i-Medina, J., Tzimiropoulos, G., & Zafeiriou, S. (2014). HOG active appearance models. . https://doi.org/10.1109/ICIP.2014.7025044

We propose the combination of dense Histogram of Oriented Gradients (HOG) features with Active Appearance Models (AAMs). We employ the efficient Inverse Compositional optimization technique and show results for the task of face fitting. By taking adv... Read More about HOG active appearance models.

Soft morphological filter optimization using a genetic algorithm for noise elimination (2014)
Conference Proceeding
Ercal, T., Özcan, E., & Asta, S. (2014). Soft morphological filter optimization using a genetic algorithm for noise elimination. In 2014 14th UK Workshop on Computational Intelligence (UKCI). https://doi.org/10.1109/UKCI.2014.6930177

Digital image quality is of importance in almost all image processing applications. Many different approaches have been proposed for restoring the image quality depending on the nature of the degradation. One of the most common problems that cause su... Read More about Soft morphological filter optimization using a genetic algorithm for noise elimination.

MRPR: A MapReduce solution for prototype reduction in big data classification (2014)
Journal Article
Triguero, I., Peralta, D., Bacardit, J., García, S., & Herrera, F. (2015). MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing, 150(Part A), 331-345. https://doi.org/10.1016/j.neucom.2014.04.078

In the era of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging task. The application of standard data mining tools in such data sets is not straightforward. Hence, a new class of scalable m... Read More about MRPR: A MapReduce solution for prototype reduction in big data classification.