Outputs (137)

A Simple Approach to Unify Ambiguously Encoded Kurdish Characters (2016)
Presentation / Conference Contribution
Jaf, S. (2016, September). A Simple Approach to Unify Ambiguously Encoded Kurdish Characters. Presented at Second International Conference of Computational Linguistics in Bulgaria, Sofia, Bulgaria

In this study we outline a potential problem in the normalisation stage of processing texts that are based on a modified version of the Arabic alphabet. The main source of resources available for processing resource-scarce languages is raw text. We h... Read More about A Simple Approach to Unify Ambiguously Encoded Kurdish Characters.

Clustering Mobile Apps Based on Mined Textual Features (2016)
Presentation / Conference Contribution
Al-Subaihin, A., Sarro, F., Black, S., Capra, L., Harman, M., Jia, Y., & Zhang, Y. (2016, September). Clustering Mobile Apps Based on Mined Textual Features. Presented at 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement - ESEM '16

Enhancing Personalized Feedback System by Visual Biometric Data Analysis (2016)
Presentation / Conference Contribution
Wang, J., Ho, H.-F., & Ono, Y. (2016, July). Enhancing Personalized Feedback System by Visual Biometric Data Analysis. Presented at 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), Kumamoto, Japan

This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners' cognitive processes during learning activities,... Read More about Enhancing Personalized Feedback System by Visual Biometric Data Analysis.

Coloring Graphs with Constraints on Connectivity (2016)
Journal Article
Aboulker, P., Brettell, N., Havet, F., Marx, D., & Trotignon, N. (2016). Coloring Graphs with Constraints on Connectivity. Journal of Graph Theory, 85(4), 814-838. https://doi.org/10.1002/jgt.22109

A graph G has maximal local edge‐connectivity k if the maximum number of edge‐disjoint paths between every pair of distinct vertices x and y is at most k. We prove Brooks‐type theorems for k‐connected graphs with maximal local edge‐connectivity k, an... Read More about Coloring Graphs with Constraints on Connectivity.

New Geometric Representations and Domination Problems on Tolerance and Multitolerance Graphs (2016)
Journal Article
Giannopoulou, A., & Mertzios, G. (2016). New Geometric Representations and Domination Problems on Tolerance and Multitolerance Graphs. SIAM Journal on Discrete Mathematics, 30(3), 1685-1725. https://doi.org/10.1137/15m1039468

Tolerance graphs model interval relations in such a way that intervals can tolerate a certain amount of overlap without being in conflict. In one of the most natural generalizations of tolerance graphs with direct applications in the comparison of DN... Read More about New Geometric Representations and Domination Problems on Tolerance and Multitolerance Graphs.

Evolution of Electronic Circuits using Carbon Nanotube Composites (2016)
Journal Article
Massey, M., Kotsialos, A., Volpati, D., Vissol-Gaudin, E., Pearson, C., Bowen, L., …Petty, M. (2016). Evolution of Electronic Circuits using Carbon Nanotube Composites. Scientific Reports, 6, Article 32197. https://doi.org/10.1038/srep32197

Evolution-in-materio concerns the computer controlled manipulation of material systems using external stimuli to train or evolve the material to perform a useful function. In this paper we demonstrate the evolution of a disordered composite material,... Read More about Evolution of Electronic Circuits using Carbon Nanotube Composites.

Real-time timeline summarisation for high-impact events in Twitter (2016)
Presentation / Conference Contribution
Zhou, Y., Kanhabua, N., & Cristea, A. (2016, August). Real-time timeline summarisation for high-impact events in Twitter. Presented at ECAI 2016, The Hague

Twitter has become a valuable source of event-related information, namely, breaking news and local event reports. Due to its capability of transmitting information in real-time, Twitter is further exploited for timeline summarisation of high-impact e... Read More about Real-time timeline summarisation for high-impact events in Twitter.

Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery (2016)
Presentation / Conference Contribution
Akcay, S., Kundegorski, M., Devereux, M., & Breckon, T. (2016, September). Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

We consider the use of transfer learning, via the use of deep Convolutional Neural Networks (CNN) for the image classification problem posed within the context of X-ray baggage security screening. The use of a deep multi-layer CNN approach, tradition... Read More about Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery.

Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications (2016)
Presentation / Conference Contribution
Katramados, I., & Breckon, T. (2016, September). Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

We propose a computationally efficient approach for the extraction of dense gradient-based features based on the use of localized intensity-weighted centroids within the image. Whilst prior work concentrates on sparse feature derivations or computati... Read More about Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications.

Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow (2016)
Presentation / Conference Contribution
Hamilton, O., & Breckon, T. (2016, September). Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

Mapping an ever changing urban environment is a challenging task as we are generally interested in mapping the static scene and not the dynamic objects, such as cars and people. We propose a novel approach to the problem of dynamic object removal wit... Read More about Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow.