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Outputs (36)

Efficient and adaptive congestion control for heterogeneous delay-tolerant networks (2012)
Journal Article
Radenkovic, M., & Grundy, A. (2012). Efficient and adaptive congestion control for heterogeneous delay-tolerant networks. Ad Hoc Networks, 10(7), https://doi.org/10.1016/j.adhoc.2012.03.013

Detecting and dealing with congestion in delay-tolerant networks (DTNs) is an important and challenging problem. Current DTN forwarding algorithms typically direct traffic towards more central nodes in order to maximise delivery ratios and minimise d... Read More about Efficient and adaptive congestion control for heterogeneous delay-tolerant networks.

The dendritic cell algorithm for intrusion detection (2012)
Book Chapter
Gu, F., Greensmith, J., & Aickelin, U. (2012). The dendritic cell algorithm for intrusion detection. In P. Lio, & D. Verma (Eds.), Biologically inspired networking and sensing : algorithms and architectures. IGI Global

As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead there are four major paradigms. Among them, the Dendritic Cell Al... Read More about The dendritic cell algorithm for intrusion detection.

Regularized kernel discriminant analysis with a robust kernel for face recognition and verification (2012)
Journal Article
Zafeiriou, S., Tzimiropoulos, G., Petrou, M., & Stathaki, T. (2012). Regularized kernel discriminant analysis with a robust kernel for face recognition and verification. IEEE Transactions on Neural Networks and Learning Systems, 23(3), https://doi.org/10.1109/TNNLS.2011.2182058

We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This... Read More about Regularized kernel discriminant analysis with a robust kernel for face recognition and verification.

Automating the packing heuristic design process with genetic programming (2012)
Journal Article
Burke, E. K., Hyde, M. R., Kendall, G., & Woodward, J. (in press). Automating the packing heuristic design process with genetic programming. Evolutionary Computation, 20(1), https://doi.org/10.1162/EVCO_a_00044

The literature shows that one-, two-, and three-dimensional bin packing and knapsack packing are difficult problems in operational research. Many techniques, including exact, heuristic, and metaheuristic approaches, have been investigated to solve th... Read More about Automating the packing heuristic design process with genetic programming.

Evidence and belief in regulatory decisions – incorporating expected utility into decision modelling (2012)
Journal Article
Li, J., Davies, G., Kendall, G., Soane, E., Bai, R., Rocks, S., & Pollard, S. (2012). Evidence and belief in regulatory decisions – incorporating expected utility into decision modelling. Expert Systems with Applications, 39(10), https://doi.org/10.1016/j.eswa.2012.01.193

Recent changes in the assessment and management of risks has had the effect that greater importance has been placed on relationships between individuals and within groups to inform decision making. In this paper, we provide the theoretical underpinni... Read More about Evidence and belief in regulatory decisions – incorporating expected utility into decision modelling.

A new sequential covering strategy for inducing classification rules with ant colony algorithms (2012)
Journal Article
Otero, F. E. B., Freitas, A. A., & Johnson, C. G. (2012). A new sequential covering strategy for inducing classification rules with ant colony algorithms. IEEE Transactions on Evolutionary Computation, 17(1), 64-76. https://doi.org/10.1109/TEVC.2012.2185846

Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorit... Read More about A new sequential covering strategy for inducing classification rules with ant colony algorithms.

Subspace learning from image gradient orientations (2012)
Journal Article
Tzimiropoulos, G., Zafeiriou, S., & Pantic, M. (2012). Subspace learning from image gradient orientations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(12), 2454-2466. https://doi.org/10.1109/TPAMI.2012.40

We introduce the notion of subspace learning from image gradient orientations for appearance-based object recognition. As image data is typically noisy and noise is substantially different from Gaussian, traditional subspace learning from pixel inten... Read More about Subspace learning from image gradient orientations.

An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control (2012)
Conference Proceeding
Benatar, N., Aickelin, U., & Garibaldi, J. M. (2012). An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control.

It has often been suggested that when faced with large amount of uncertainty in situations of automated control type-2 fuzzy logic based controllers will out perform the simpler type-1 varieties due to the latter lacking a mechanism to model this un... Read More about An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control.