Outputs (65)

A novel approach to independent taxi scheduling problem based on stable matching (2013)
Journal Article
Bai, R., Li, J., Atkin, J. A., & Kendall, G. (2014). A novel approach to independent taxi scheduling problem based on stable matching. Journal of the Operational Research Society, 65(10), https://doi.org/10.1057/jors.2013.96

This paper describes a taxi scheduling system, which aims to improve the overall efficiency of the system, both from the perspective of the drivers and the customers. This is of particular relevance to Chinese cities, where hailing a taxi on the stre... Read More about A novel approach to independent taxi scheduling problem based on stable matching.

Extraversion differentiates between model-based and model-free strategies in a reinforcement learning task (2013)
Journal Article
Skatova, A., Chan, P. A., & Daw, N. (2013). Extraversion differentiates between model-based and model-free strategies in a reinforcement learning task. Frontiers in Human Neuroscience, 7, Article 525. https://doi.org/10.3389/fnhum.2013.00525

Prominent computational models describe a neural mechanism for learning from reward prediction errors, and it has been suggested that variations in this mechanism are reflected in personality factors such as trait extraversion. However, although trai... Read More about Extraversion differentiates between model-based and model-free strategies in a reinforcement learning task.

Exploring reactions to widespread energy monitoring (2013)
Presentation / Conference Contribution
Colley, J. A., Bedwell, B., Crabtree, A., & Rodden, T. (2013). Exploring reactions to widespread energy monitoring. . https://doi.org/10.1007/978-3-642-40498-6_6

This paper explores the measurement, apportionment and representation of widespread energy monitoring. We explicate the accountability to users of the data collected by this type of monitoring when it is presented to them as a single daylong picture.... Read More about Exploring reactions to widespread energy monitoring.

Revisiting a summer vacation: digital restoration and typesetter forensics (2013)
Presentation / Conference Contribution
Bagley, S. R., Brailsford, D. F., & Kernighan, B. W. (2013). Revisiting a summer vacation: digital restoration and typesetter forensics.

In 1979 the Computing Science Research Center (‘Center 127’) at Bell Laboratories bought a Linotron 202 typesetter from the Mergenthaler company. This was a ‘third generation’ digital machine that used a CRT to image characters onto photographic pape... Read More about Revisiting a summer vacation: digital restoration and typesetter forensics.

No need to justify your choice: pre-compiling line breaks to improve eBook readability (2013)
Presentation / Conference Contribution
Pinkney, A. J., Bagley, S. R., & Brailsford, D. F. (2013). No need to justify your choice: pre-compiling line breaks to improve eBook readability.

Implementations of eBooks have existed in one form or another for at least the past 20 years, but it is only in the past 5 years that dedicated eBook hardware has become a mass-market item.

New screen technologies, such as e-paper, provide a readi... Read More about No need to justify your choice: pre-compiling line breaks to improve eBook readability.

Efficient Location Privacy-Aware Forwarding in Opportunistic Mobile Networks (2013)
Journal Article
Zakhary, S., Radenkovic, M., & Benslimane, A. (2014). Efficient Location Privacy-Aware Forwarding in Opportunistic Mobile Networks. IEEE Transactions on Vehicular Technology, 63(2), 893-906. https://doi.org/10.1109/TVT.2013.2279671

This paper proposes a novel fully distributed and collaborative k-anonymity protocol (LPAF) to protect users’ location information and ensure better privacy while forwarding queries/replies to/from untrusted location-based service (LBS) over opportun... Read More about Efficient Location Privacy-Aware Forwarding in Opportunistic Mobile Networks.

A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means (2013)
Journal Article
Lai, D. T. C., Garibaldi, J. M., Soria, D., & Roadknight, C. M. (2014). A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means. Central European Journal of Operations Research, 22(3), 475-499. https://doi.org/10.1007/s10100-013-0318-3

Previously, a semi-manual method was used to identify six novel and clinically useful classes in the Nottingham Tenovus Breast Cancer dataset. 663 out of 1,076 patients were classified. The objectives of our work is three folds. Firstly, our primary... Read More about A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised Fuzzy c-means.

Issues and understandings for rural HCI systems development: Agile approaches "In the wild" (2013)
Presentation / Conference Contribution
Davies, M., Chamberlain, A., & Crabtree, A. (2013, July). Issues and understandings for rural HCI systems development: Agile approaches "In the wild". Presented at HCI International 2013, Las Vegas, NV, USA

HCI system design has largely been focused towards urban areas, the technology and the infrastructure of such environments. Researchers are often unaware of the local, real-word context and the restraints that this can have upon the both the interact... Read More about Issues and understandings for rural HCI systems development: Agile approaches "In the wild".

A path-oriented encoding evolutionary algorithm for network coding resource minimization (2013)
Journal Article
Xing, H., Qu, R., Kendall, G., & Bai, R. (2014). A path-oriented encoding evolutionary algorithm for network coding resource minimization. Journal of the Operational Research Society, 65(8), https://doi.org/10.1057/jors.2013.79

Network coding is an emerging telecommunication technique, where any intermediate node is allowed to recombine incoming data if necessary. This technique helps to increase the throughput, however, very likely at the cost of huge amount of computation... Read More about A path-oriented encoding evolutionary algorithm for network coding resource minimization.

Online learning and fusion of orientation appearance models for robust rigid object tracking (2013)
Presentation / Conference Contribution
Marras, I., Medina, J. A., Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2013, April). Online learning and fusion of orientation appearance models for robust rigid object tracking. Presented at 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013, Shanghai, China

We present a robust framework for learning and fusing different modalities for rigid object tracking. Our method fuses data obtained from a standard visual camera and dense depth maps obtained by low-cost consumer depths cameras such as the Kinect. T... Read More about Online learning and fusion of orientation appearance models for robust rigid object tracking.