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All Outputs (133)

Efficient Mesh Management in Firedrake Using PETSc DMPlex (2016)
Journal Article
Lange, M., Mitchell, L., Knepley, M. G., & Gorman, G. J. (2016). Efficient Mesh Management in Firedrake Using PETSc DMPlex. SIAM Journal on Scientific Computing, 38(5), S143-S155. https://doi.org/10.1137/15m1026092

The use of composable abstractions allows the application of new and established algorithms to a wide range of problems, while automatically inheriting the benefits of well-known performance optimizations. This work highlights the composition of the... Read More about Efficient Mesh Management in Firedrake Using PETSc DMPlex.

Optimize BpNN using new breeder genetic algorithm (2016)
Presentation / Conference Contribution
Alabass, M., Jaf, S., Abdullah, A. M., Hassanien, A. E., Shaalan, K., Gaber, T., …Tolba, M. F. (2017). Optimize BpNN using new breeder genetic algorithm. In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 (373-382). https://doi.org/10.1007/978-3-319-48308-5_36

In this paper, the ability of genetic algorithms in designing artificial neural network (ANN) is investigated. The multi-layer network (MLN) is taken into account as the ANN structure to be optimized. The idea presented here is to use the genetic alg... Read More about Optimize BpNN using new breeder genetic algorithm.

Noise Robust Image Edge Detection based upon the Automatic Anisotropic Gaussian Kernels (2016)
Journal Article
Zhang, W., Zhao, Y., Breckon, T., & Chen, L. (2016). Noise Robust Image Edge Detection based upon the Automatic Anisotropic Gaussian Kernels. Pattern Recognition, 63(8), 193-205. https://doi.org/10.1016/j.patcog.2016.10.008

This paper presents a novel noise robust edge detector based upon the automatic anisotropic Gaussian kernels (ANGKs), which also addresses the current problem that the seminal Canny edge detector may miss some obvious crossing edge details. Firstly,... Read More about Noise Robust Image Edge Detection based upon the Automatic Anisotropic Gaussian Kernels.

Online regenerator placement (2016)
Journal Article
Mertzios, G., Shalom, M., Wong, P., & Zaks, S. (2016). Online regenerator placement. Theory of Computing Systems, 61(3), 739-754. https://doi.org/10.1007/s00224-016-9711-3

Connections between nodes in optical networks are realized by lightpaths. Due to the decay of the signal, a regenerator has to be placed on every lightpath after at most d hops, for some given positive integer d. A regenerator can serve only one ligh... Read More about Online regenerator placement.

Extracting 3D parametric curves from 2D images of helical objects (2016)
Journal Article
Willcocks, C., Jackson, P. T., Nelson, C. J., & Obara, B. (2016). Extracting 3D parametric curves from 2D images of helical objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(9), 1757-1769. https://doi.org/10.1109/tpami.2016.2613866

Helical objects occur in medicine, biology, cosmetics, nanotechnology, and engineering. Extracting a 3D parametric curve from a 2D image of a helical object has many practical applications, in particular being able to extract metrics such as tortuosi... Read More about Extracting 3D parametric curves from 2D images of helical objects.

High level implementation of geometric multigrid solvers for finite element problems: Applications in atmospheric modelling (2016)
Journal Article
Mitchell, L., & Müller, E. H. (2016). High level implementation of geometric multigrid solvers for finite element problems: Applications in atmospheric modelling. Journal of Computational Physics, 327, 1-18. https://doi.org/10.1016/j.jcp.2016.09.037

The implementation of efficient multigrid preconditioners for elliptic partial differential equations (PDEs) is a challenge due to the complexity of the resulting algorithms and corresponding computer code. For sophisticated (mixed) finite element di... Read More about High level implementation of geometric multigrid solvers for finite element problems: Applications in atmospheric modelling.

From On-Road to Off: Transfer Learning within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes (2016)
Presentation / Conference Contribution
Holder, C., Breckon, T., & Wei, X. (2016, December). From On-Road to Off: Transfer Learning within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes. Presented at European Conference on Computer Vision Workshops., Amsterdam, The Netherlands

Real-time road-scene understanding is a challenging computer vision task with recent advances in convolutional neural networks (CNN) achieving results that notably surpass prior traditional feature driven approaches. Here, we take an existing CNN arc... Read More about From On-Road to Off: Transfer Learning within a Deep Convolutional Neural Network for Segmentation and Classification of Off-Road Scenes.

The price of connectivity for feedback vertex set (2016)
Journal Article
Belmonte, R., van ’t Hof, P., Kamiński, M., & Paulusma, D. (2017). The price of connectivity for feedback vertex set. Discrete Applied Mathematics, 217(Part B), 132-143. https://doi.org/10.1016/j.dam.2016.08.011

Let View the MathML source and View the MathML source denote the cardinalities of a minimum feedback vertex set and a minimum connected feedback vertex set of a graph G, respectively. The price of connectivity for feedback vertex set (poc-fvs) for a... Read More about The price of connectivity for feedback vertex set.

Reducing the clique and chromatic number via edge contractions and vertex deletions (2016)
Presentation / Conference Contribution
Paulusma, D., Picouleau, C., & Ries, B. (2016, May). Reducing the clique and chromatic number via edge contractions and vertex deletions. Presented at 4th International Symposium on Combinatorial Optimization (ISCO 2016), Vietri sul Mare, Italy

We consider the following problem: can a certain graph parameter of some given graph G be reduced by at least d, for some integer d, via at most k graph operations from some specified set S, for some given integer k? As graph parameters we take the c... Read More about Reducing the clique and chromatic number via edge contractions and vertex deletions.

A Simple Approach to Unify Ambiguously Encoded Kurdish Characters (2016)
Presentation / Conference Contribution
Jaf, S. (2016). A Simple Approach to Unify Ambiguously Encoded Kurdish Characters.

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.

Enhancing Personalized Feedback System by Visual Biometric Data Analysis (2016)
Presentation / Conference Contribution
Wang, J., Ho, H., & Ono, Y. (2016). Enhancing Personalized Feedback System by Visual Biometric Data Analysis. . https://doi.org/10.1109/iiai-aai.2016.231

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). Real-time timeline summarisation for high-impact events in Twitter. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, & F. van Harmelen (Eds.), Proceedings of the 22nd European Conference on Artificial Intelligence, 29 August–2 September 2016, The Hague, The Netherlands (1158-1166). https://doi.org/10.3233/978-1-61499-672-9-1158

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). Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery. In Proc. Int. Conf. on Image Processing (1057 -1061). https://doi.org/10.1109/ICIP.2016.7532519

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.

Constant-time Bilateral Filter using Spectral Decomposition (2016)
Presentation / Conference Contribution
Sugimoto, K., Breckon, T., & Kamata, S. (2016). Constant-time Bilateral Filter using Spectral Decomposition. In Proc. Int. Conf. on Image Processing (3319-3323). https://doi.org/10.1109/ICIP.2016.7532974

This paper presents an efficient constant-time bilateral filter where constant-time means that computational complexity is independent of filter window size. Many state-of-the-art constant-time methods approximate the original bilateral filter by an... Read More about Constant-time Bilateral Filter using Spectral Decomposition.

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). Dense Gradient-based Features (DeGraF) for Computationally Efficient and Invariant Feature Extraction in Real-time Applications. In Proc. Int. Conf. on Image Processing (300-304). https://doi.org/10.1109/ICIP.2016.7532367

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). Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow. In Proc. Int. Conf. on Image Processing (3439-3443). https://doi.org/10.1109/ICIP.2016.7532998

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.