Algorithm selection using deep learning without feature extraction
Alissa, M., Sim, K., & Hart, E. (2019)
Algorithm selection using deep learning without feature extraction. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (198-206). https://doi.org/10.1145/3321707.3321845
We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In ...
User, metric, and computational evaluation of foveated rendering methods
Swafford, N. T., Iglesias-Guitian, J. A., Koniaris, C., Moon, B., Cosker, D., & Mitchell, K. (2016)
User, metric, and computational evaluation of foveated rendering methods. In SAP '16 Proceedings of the ACM Symposium on Applied Perception. https://doi.org/10.1145/2931002.2931011
Perceptually lossless foveated rendering methods exploit human perception by selectively rendering at different quality levels based on eye gaze (at a lower computational cost...
An Approach to a Laser-Touchscreen System
Aizeboje, J., & Peng, T. (2016)
An Approach to a Laser-Touchscreen System. In Enterprise Information Systems; Lecture Notes in Business Information Processing (476-495). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-29133-8_23
As modern day technologies advance, so have different methods in which users can interact with computers. Computers are currently being used in combination with devices like p...
Real-time variable rigidity texture mapping
Koniaris, C., Mitchell, K., & Cosker, D. (2015)
Real-time variable rigidity texture mapping. In CVMP '15 Proceedings of the 12th European Conference on Visual Media Production. https://doi.org/10.1145/2824840.2824850
Parameterisation of models is typically generated for a single pose, the rest pose. When a model deforms, its parameterisation characteristics change, leading to distortions i...
What can we learn from simulating commuters?
Presentation / Conference
Urquhart, N. (2017, November)
What can we learn from simulating commuters?. Presented at U!REKA
Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There...
A Unifying Software Framework for Vehicle Routing and Logistics
Enenkel, J., Geyer, J., Keiner, J., Nguyen, J., Steuler, J. L., & Urquhart, N. (in press)
A Unifying Software Framework for Vehicle Routing and Logistics. In Conference proceedings
A wide range of open source tools and real world data are available to support those working on vehicle routing and logistics optimisation. Despite such tools being available ...
Visual techniques to support exploratory analysis of temporal graph data.
Kerracher, N., Kennedy, J., Chalmers, K., & Graham, M. (2015)
Visual techniques to support exploratory analysis of temporal graph data. In E. Bertini, J. Kennedy, & E. Puppo (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis '15), Short Papers Track, (103-107). https://doi.org/10.2312/eurovisshort.20151133
Recently, much research has focused on developing techniques for the visual representation of temporal graph data. This paper takes a wider look at the visual techniques invol...
Props Alive: A Framework for Augmented Reality Stop Motion Animation
Casas, L., Kosek, M., & Mitchell, K. (2020)
Props Alive: A Framework for Augmented Reality Stop Motion Animation. In 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)https://doi.org/10.1109/SEARIS41720.2017.9183487
Stop motion animation evolved in the early days of cinema with the aim to create an illusion of movement with static puppets posed manually each frame. Current stop motion mov...
Controlling a simulated Khepera with an XCS classifier system with memory.
Webb, A., Hart, E., Ross, P. & Lawson, A. (2003)
Controlling a simulated Khepera with an XCS classifier system with memory. ISBN 9783540200574
Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of act...
Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach
Guifa Teng, , Hong Su, , Xiaodong Liu, , & Tiger Wang, . (2006)
Mining and Sharing Heterogeneous E-Marketing Intelligence - A Universal Metadata-Based Approach. In First International Conference on Innovative Computing, Information and Control, 2006. ICICIC '06doi:10.1109/icicic.2006.309
Despite the emergent business needs and technical efforts by both industrial and research communities, e-business market intelligence (EMI) still faces many obstacles hinderin...