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Outputs (21)

Reconstituting typeset Marriage Registers using simple software tools (2012)
Journal Article
Brailsford, D. F. (2012). Reconstituting typeset Marriage Registers using simple software tools. Computer Science - Research and Development, 27(2), https://doi.org/10.1007/s00450-010-0145-x

In a world of fully integrated software applications, which can seem daunting to develop and to maintain, it is sometimes useful to recall that a system of loosely-linked software components can provide surprisingly powerful and flexible methods for... Read More about Reconstituting typeset Marriage Registers using simple software tools.

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.

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.

Privileged information for data clustering (2012)
Journal Article
Feyereisl, J., & Aickelin, U. (2012). Privileged information for data clustering. Information Sciences, 194, https://doi.org/10.1016/j.ins.2011.04.025

Many machine learning algorithms assume that all input samples are independently and identically distributed from some common distribution on either the input space X, in the case of unsupervised learning, or the input and output space X Y in the... Read More about Privileged information for data clustering.

Robust learning from normals for 3D face recognition (2012)
Journal Article
Marras, I., Zafeiriou, S., & Tzimiropoulos, G. (2012). Robust learning from normals for 3D face recognition. Lecture Notes in Artificial Intelligence, 7584, https://doi.org/10.1007/978-3-642-33868-7_23

We introduce novel subspace-based methods for learning from the azimuth angle of surface normals for 3D face recognition. We show that the normal azimuth angles combined with Principal Component Analysis (PCA) using a cosine-based distance measure ca... Read More about Robust learning from normals for 3D face recognition.