Skip to main content

Research Repository

Advanced Search

All Outputs (96)

Mona: an Affordable Open-Source Mobile Robot for Education and Research (2018)
Journal Article
Arvin, F., Espinosa, J., Bird, B., West, A., Watson, S., & Lennox, B. (2019). Mona: an Affordable Open-Source Mobile Robot for Education and Research. Journal of Intelligent and Robotic Systems, 94(3-4), 761–775. https://doi.org/10.1007/s10846-018-0866-9

Mobile robots are playing a significant role in Higher Education science and engineering teaching, as they offer a flexible platform to explore and teach a wide-range of topics such as mechanics, electronics and software. Unfortunately the widespread... Read More about Mona: an Affordable Open-Source Mobile Robot for Education and Research.

Action Recognition From Arbitrary Views Using Transferable Dictionary Learning (2018)
Journal Article
Zhang, J., Shum, H. P., Han, J., & Shao, L. (2018). Action Recognition From Arbitrary Views Using Transferable Dictionary Learning. IEEE Transactions on Image Processing, 27(10), 4709-4723. https://doi.org/10.1109/tip.2018.2836323

Human action recognition is crucial to many practical applications, ranging from human-computer interaction to video surveillance. Most approaches either recognize the human action from a fixed view or require the knowledge of view angle, which is us... Read More about Action Recognition From Arbitrary Views Using Transferable Dictionary Learning.

On view-invariant gait recognition: a feature selection solution (2018)
Journal Article
Jia, N., Sanchez, V., & Li, C. (2018). On view-invariant gait recognition: a feature selection solution. IET Biometrics, 7(4), 287-295. https://doi.org/10.1049/iet-bmt.2017.0151

The authors present an improved feature selection solution for the view-invariant gait recognition problem, based on their previously proposed method called view-invariant feature selector (ViFS), which automatically reconstruct an optimised gallery... Read More about On view-invariant gait recognition: a feature selection solution.

Strong bounds for evolution in networks (2018)
Journal Article
Mertzios, G., & Spirakis, P. (2018). Strong bounds for evolution in networks. Journal of Computer and System Sciences, 97, 60-82. https://doi.org/10.1016/j.jcss.2018.04.004

This work studies the generalized Moran process, as introduced by Lieberman et al. [Nature, 433:312-316, 2005]. We introduce the parameterized notions of selective amplifiers and selective suppressors of evolution, i.e. of networks (graphs) with many... Read More about Strong bounds for evolution in networks.

"attractor Tempi" in Brahms's Symphony No. 2/III (2018)
Journal Article
Gotham, M. R. H. (2018). "attractor Tempi" in Brahms's Symphony No. 2/III. Music Theory Spectrum, 40(1), 138 – 153. https://doi.org/10.1093/mts/mty010

This analysis assesses tempo choice in the third movement of Brahms’s Second Symphony. It is shown that, at key moments of the movement, the average tempi used in a sample of commercial recordings align closely with those suggested by the “attractor”... Read More about "attractor Tempi" in Brahms's Symphony No. 2/III.

Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality (2018)
Journal Article
Katsigiannis, S., Scovell, J., Ramzan, N., Janowski, L., Corriveau, P., Saad, M. A., & Van Wallendael, G. (2018). Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality. Quality and User Experience, 3(1), Article 6. https://doi.org/10.1007/s41233-018-0019-8

The use of no-reference image quality evaluation tools that produce MOS scores, like the VIQET tool which was released by the Video Quality Expert Group, raises the question of whether the produced MOS differences between images correspond to noticea... Read More about Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality.

Study on student performance estimation, student progress analysis, and student potential prediction based on data mining (2018)
Journal Article
Yang, F., & Li, F. W. (2018). Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Computers & Education, 123, 97-108. https://doi.org/10.1016/j.compedu.2018.04.006

Student performance, student progress and student potential are critical for measuring learning results, selecting learning materials and learning activities. However, existing work doesn't provide enough analysis tools to analyze how students perfor... Read More about Study on student performance estimation, student progress analysis, and student potential prediction based on data mining.

Towards a characterization of constant-factor approximable Finite-Valued CSPs (2018)
Journal Article
Dalmau, V., Krokhin, A., & Manokaran, R. (2018). Towards a characterization of constant-factor approximable Finite-Valued CSPs. Journal of Computer and System Sciences, 97, 14-27. https://doi.org/10.1016/j.jcss.2018.03.003

We study the approximability of (Finite-)Valued Constraint Satisfaction Problems (VCSPs) with a fixed finite constraint language Γ consisting of finitary functions on a fixed finite domain. Ene et al. have shown that, under a mild technical condition... Read More about Towards a characterization of constant-factor approximable Finite-Valued CSPs.

Security Threats to Critical Infrastructure: The Human Factor (2018)
Journal Article
Ghafir, I., Saleem, J., Hammoudeh, M., Faour, H., Prenosil, V., Jaf, S., …Baker, T. (2018). Security Threats to Critical Infrastructure: The Human Factor. Journal of Supercomputing, 74(10), 4986-5002. https://doi.org/10.1007/s11227-018-2337-2

In the 21st century, globalisation made corporate boundaries invisible and difficult to manage. This new macroeconomic transformation caused by globalisation introduced new challenges for critical infrastructure management. By replacing manual tasks... Read More about Security Threats to Critical Infrastructure: The Human Factor.

Cognitive agents and machine learning by example : representation with conceptual graphs (2018)
Journal Article
Gkiokas, A., & Cristea, A. (2018). Cognitive agents and machine learning by example : representation with conceptual graphs. Computational Intelligence, 34(2), 603-634. https://doi.org/10.1111/coin.12167

As machine learning (ML) and artificial intelligence progress, more complex tasks can be addressed, quite often by cascading or combining existing models and technologies, known as the bottom‐up design. Some of those tasks are addressed by agents, wh... Read More about Cognitive agents and machine learning by example : representation with conceptual graphs.

Using Deep Convolutional Neural Network Architectures for Object Classification and Detection within X-ray Baggage Security Imagery (2018)
Journal Article
Akcay, S., Kundegorski, M., Willcocks, C., & Breckon, T. (2018). Using Deep Convolutional Neural Network Architectures for Object Classification and Detection within X-ray Baggage Security Imagery. IEEE Transactions on Information Forensics and Security, 13(9), 2203-2215. https://doi.org/10.1109/tifs.2018.2812196

We consider the use of deep Convolutional Neural Networks (CNN) with transfer learning for the image classification and detection problems posed within the context of X-ray baggage security imagery. The use of the CNN approach requires large amounts... Read More about Using Deep Convolutional Neural Network Architectures for Object Classification and Detection within X-ray Baggage Security Imagery.

Recovering normal networks from shortest inter-taxa distance information (2018)
Journal Article
Bordewich, M., Huber, K. T., Moulton, V., & Semple, C. (2018). Recovering normal networks from shortest inter-taxa distance information. Journal of Mathematical Biology, 77(3), 571-594. https://doi.org/10.1007/s00285-018-1218-x

Phylogenetic networks are a type of leaf-labelled, acyclic, directed graph used by biologists to represent the evolutionary history of species whose past includes reticulation events. A phylogenetic network is tree–child if each non-leaf vertex is th... Read More about Recovering normal networks from shortest inter-taxa distance information.

Erdős–Ko–Rado theorems for a family of trees (2018)
Journal Article
Feghali, C., Johnson, M., & Thomas, D. (2018). Erdős–Ko–Rado theorems for a family of trees. Discrete Applied Mathematics, 236, 464-471. https://doi.org/10.1016/j.dam.2017.10.009

A family of sets is intersecting if any two sets in the family intersect. Given a graph and an integer , let denote the family of independent sets of size of . For a vertex of , let denote the family of independent sets of size that contain . This fa... Read More about Erdős–Ko–Rado theorems for a family of trees.