Now showing items 1-20 of 190

  • 3D reconstruction of "in-the-wild" faces in images and videos 

    Booth, J; Roussos, A; Ververas, E; Antonakos, E; Ploumpis, S; Panagakis, Y; Zafeiriou, S (Institute of Electrical and Electronics Engineers, 2018-05-15)
    3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and are among the state-of-the-art methods for reconstructing facial shape from single images. With the advent of new 3D sensors, ...
  • Accurate and generic sender selection for bulk data dissemination in low-power wireless networks 

    Zhao, Z; Dong, W; Bu, J; Gu, T; Min, G (Institute of Electrical and Electronics Engineers (IEEE) / Association for Computing Machinery (ACM), 2016)
    Data dissemination is a fundamental service offered by low-power wireless networks. Sender selection is the key to the dissemination performance and has been extensively studied. Sender impact metric plays a significant ...
  • Accurate range-free localization for anisotropic wireless sensor networks 

    Zhang, S; Liu, X; Wang, J; Cao, J; Min, G (Association for Computing Machinery (ACM), 2015-05-01)
    Position information plays a pivotal role in wireless sensor network (WSN) applications and protocol/ algorithm design. In recent years, range-free localization algorithms have drawn much research attention due to their ...
  • Achieving New Upper Bounds for the Hypergraph Duality Problem through Logic 

    Gottlob, G; Malizia, E (Society for Industrial and Applied Mathematics, 2018-04-12)
    The hypergraph duality problem DUAL is defined as follows: given two simple hypergraphs G and H, decide whether H consists precisely of all minimal transversals of G (in which case we say that G is the dual of H, or, ...
  • Achieving new upper bounds for the hypergraph duality problem through logic 

    Gottlob, G; Malizia, E (Society for Industrial and Applied Mathematics, 2018-04-12)
    The hypergraph duality problem DUAL is defined as follows: given two simple hypergraphs G and H, decide whether H consists precisely of all minimal transversals of G (in which case we say that G is the dual of H, or, ...
  • Adaptive Locally Constrained Genetic Algorithm For Least-Cost Water Distribution Network Design 

    Johns, Matthew B.; Keedwell, Edward; Savic, Dragan (IWA Publishing, 2014)
    This paper describes the development of an adaptive locally constrained genetic algorithm (ALCO-GA) and its application to the problem of least cost water distribution network design. Genetic algorithms have been used ...
  • An analysis of the interface between evolutionary algorithm operators and problem features for water resources problems. A case study in water distribution network design 

    McClymont, Kent; Keedwell, Edward; Savic, Dragan (Elsevier, 2015-02-07)
    Evolutionary Algorithms (EAs) have been widely employed to solve water resources problems for nearly two decades with much success. However, recent research in hyperheuristics has raised the possibility of developing ...
  • An Ant Colony Optimization and Tabu List Approach to the Detection of Gene-Gene Interactions in Genome-Wide Association Studies [Research Frontier] 

    Sapin, E; Keedwell, E; Frayling, T (Institute of Electrical and Electronics Engineers (IEEE), 2015-11-01)
    In this paper, a novel ant colony optimization and tabu list approach for the discovery of gene-gene interactions in genome-wide association study data is proposed. The method is tested on a number of diseases drawn from ...
  • Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion 

    Wang, C; Liu, Y; Everson, R; Rahat, AAM; Zheng, S (Hindawi Publishing Corporation, 2017-05-11)
    Recently, Gaussian Process (GP) has attracted generous attention from industry. This article focuses on the application of coal fired boiler combustion and uses GP to design a strategy for reducing Unburned Carbon Content ...
  • An Architecture for Accountable Anonymous Access in the Internet-of-Things Network 

    Ma, Y; Wu, Y; Ge, J; Li, J (Institute of Electrical and Electronics Engineers (IEEE), 2018-02-15)
    With the rapid development of the Internet, more and more devices are being connected to the Internet, making up the Internet-of-Things (IoT). The accountability and privacy are two important but contradictory factors to ...
  • Automated construction of evolutionary algorithm operators for the bi-objective water distribution network design problem using a genetic programming based hyper-heuristic approach 

    McClymont, Kent; Keedwell, Edward; Savic, Dragan; Randall-Smith, Mark (IWA Publishing for IAHR-IWA-IAHS Joint Committee on Hydroinformatics, 2014)
    The water distribution network (WDN) design problem is primarily concerned with finding the optimal pipe sizes that provide the best service for minimal cost; a problem of continuing importance both in the UK and ...
  • Automatic thresholding from the gradients of region boundaries 

    Landini, G; Randell, DA; Fouad, S; Galton, AP (Wiley, 2016-09-20)
    We present an approach for automatic threshold segmentation of greyscale images. The procedure is inspired by a reinterpretation of the strategy observed in human operators when adjusting thresholds manually and interactively ...
  • The Battle of the Water Networks II (BWN-II) 

    Marchi, A.; Salomons, E; Ostfeld, A.; Kapelan, Zoran; Simpson, A; Zecchin, A. C.; Maier, H.R.; Wu, Z; Elsayed, S; Song, Y; Walski, T.; Stokes, C; Wu, W; Dandy, G.C.; Alvisi, S; Creaco, Enrico; Franchini, Marco; Saldarriaga, J; Páez, D; Hernandez, David; Bohórquez, J; Bent, R; Coffrin, C; Judi, D; McPherson, T; van Hentenryck, P; Matos, J; Monteiro, A; Matias, N; Yoo, D; Lee, H; Kim, J; Iglesias-Rey, P; Martínez-Solano, F; Mora-Meliá, D; Ribelles-Aguilar, J; Guidolin, Michele; Fu, Guangtao; Reed, P.M.; Wang, Qi; Liu, H; McClymont, K; Johns, Matthew B.; Keedwell, Edward; Kandiah, V; Jasper, M; Drake, K; Shafiee, E; Barandouzi, M; Berglund, A; Brill, D; Mahinthakumar, G; Ranjithan, R; Zechman, E; Morley, Mark S.; Tricarico, Carla; de Marinis, G.; Tolson, B; Khedr, A; Asadzadeh, M (American Society of Civil Engineers, 2013-05-18)
    The Battle of the Water Networks II (BWN-II) is the latest of a series of competitions related to the design and operation of water distribution systems (WDSs) undertaken within the Water Distribution Systems Analysis ...
  • Bayesian estimation and classification with incomplete data using mixture models 

    Zhang, Jufen; Everson, Richard M. (IEEE, 2004)
    Reasoning from data in practical problems is frequently hampered by missing observations. Mixture models provide a powerful general semi-parametric method for modelling densities and have close links to radial basis function ...
  • A Bayesian Framework for Active Learning 

    Fredlund, Richard; Everson, Richard M.; Fieldsend, Jonathan E. (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    We describe a Bayesian framework for active learning for non-separable data, which incorporates a query density to explicitly model how new data is to be sampled. The model makes no assumption of independence between queried ...
  • Bayesian Spectral Analysis with Student-t Noise 

    Christmas, JT (Institute of Electrical and Electronics Engineers (IEEE), 2014-06-01)
    We introduce a Bayesian spectral analysis model for one-dimensional signals where the observation noise is assumed to be Student-t distributed, for robustness to outliers, and we estimate the posterior distributions of the ...
  • Bayesian unsupervised learning with multiple data types 

    Agius, Phaedra; Ying, Yiming; Campbell, Colin (Walter de Gruyter, 2009)
    We propose Bayesian generative models for unsupervised learning with two types of data and an assumed dependency of one type of data on the other. We consider two algorithmic ap- proaches, based on a correspondence model ...
  • Beyond spatial scalability limitations with a massively parallel method for linear oscillatory problems 

    Schreiber, M; Peixoto, P; Haut, T; Wingate, B (SAGE Publications, 2017-02-03)
    This paper presents, discusses and analyses a massively parallel-in-time solver for linear oscillatory PDEs, which is a key numerical component for evolving weather, ocean, climate and seismic models. The time parallelization ...
  • Blind source separation for non-stationary mixing 

    Everson, Richard M.; Roberts, Stephen (2000)
    Blind source separation attempts to recover independent sources which have been linearly mixed to produce observations. We consider blind source separation with non-stationary mixing, but stationary sources. The linear ...
  • Characterisation of Received Signal Strength Perturbations using Allan Variance 

    Luo, C; Casaseca, P; McClean, S; Parr, G; Ren, P (Institute of Electrical and Electronics Engineers (IEEE), 2017-11-03)
    The received signal strength (RSS) of wireless signals conveys important information that has been widely used in wireless communications, localisation and tracking. Traditional RSS-based research and applications model ...