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  • Kan, Dougal James McFarlane (2011)
    New semi-analytical methods are presented for modelling the electromagnetic fields of three-dimensional photonic crystals that are composed of orthogonal layers of cylindrical rods. Firstly, the multipole method is ...
  • Botten, Lindsay; Asatryan, Ara; White, Tom; De Sterke, C; Mcphedran, Ross; Langtry, Tim (Optical Soc Amer, 2003)
    e present a semianalytic theory for the properties of two-dimensional photonic crystal waveguides of finite length. For single-mode guides, the transmission spectrum and field intensity can be accurately described by a ...
  • Yu, Jun; Tao, Dacheng; Wang, Meng; Cheng, Jun (Springer, 2011)
    To reduce tedious work in cartoon animation, some computer-assisted systems including automatic Inbetweening and cartoon reusing systems have been proposed. In existing automatic Inbetweening systems, accurate correspondence ...
  • Valls Miro, Jaime; Black, Ross; De Bruijn, Freek; Dissanayake, Gamini (IEEE, 2011)
    This paper describes a stand-alone sensor package and algorithms for aiding the assessment by an occupational therapist whether a person has the capacity to safely and effectively operate a powered mobility device such ...
  • Nguyen, Jordan; Tran, Yvonne; Su, Steven; Nguyen, Hung (IEEE, 2011)
    This paper is concerned with the design and development of a semi-autonomous wheelchair system using cameras in a system configuration modeled on the vision system of a horse. This new camera configuration utilizes ...
  • Nguyen, Jordan; Nguyen, Hai; Nguyen, Hung (IEEE, 2009)
    This paper is concerned with the design and development of a semi-autonomouswheelchair system using stereoscopic cameras to assist hands-free control technologies for severely disabled people. The stereoscopic cameras ...
  • Naik, Ganesh; Kumar, Dinesh (IGI Global publishers, 2012)
    Unsupervised learning is a class of problems in machine learning which seeks to determine how the data are organized. Unsupervised learning encompasses many other techniques that seek to summarize and explain key features ...
  • Radchik, V; Ben-Nissan, Besim; Muller, Wolfgang (ASME American Society of Mechanical Engineers, 2002)
  • Luo, Junzhao; Luo, Zhen; Chen, Liping; Tong, Ly; Wang, Michael (Academic Press Inc Elsevier Science, 2008)
    This paper proposes a new level set method for structural shape and topology optimization using a semi-implicit scheme. Structural boundary is represented implicitly as the zero level set of a higher-dimensional scalar ...
  • Hinckley, Brook; Dolman, Kevin; Yeung, Wing; Ray, Abhi; Wuhrer, Ric (Institute of Materials Engineering Australasia Ltd, 2008)
  • Van Leeuwen, Theo (Routledge, 2011)
    In the eighteenth and nineteenth centuries, fuelled by the industrial revolution and the questions it raised about the difference between handmade and machine-made objects, were intense debates about the nature of decoration ...
  • Djonov, Emilia; Van Leeuwen, Theo (Sage, 2011)
    The term `texture? is often applied beyond the tactile, to describe visual and aural qualities. While tactile, visual and aural texture have been studied separately in various fields, the relationships between them remain ...
  • Bosch, Ronald; Wypij, D; Ryan, Louise (Plenum Publ Corp, 1996)
    Characterizing the dose-effect relationship and estimating acceptable exposure levels are the primary goals of quantitative risk assessment. A semiparametric approach is proposed for risk assessment with continuously ...
  • Hardle, Wolfgang; Kleinow, Torsten; Korostelev, Alexander; Logeay, Camille; Platen, Eckhard (IOP Publishing Ltd., 2008)
    The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A new model for a stock market index process is proposed in which the index is ...
  • Qin, Yongsong; Zhang, Shichao; Zhu, Xiaofeng; Zhang, Jilian; Zhang, Chengqi (Springer, 2007)
    Missing data imputation is an important issue in machine learning and data mining. In this paper, we propose a new and efficient imputation method for a kind of missing data: semi-parametric data. Our imputation method ...
  • Goetghebeur, Els; Ryan, Louise (Wiley-Blackwell Publishing Ltd., 2000)
    We propose a semiparametric approach to the proportional hazards regression analysis of interval-censored data. An EM algorithm based on an approximate likelihood leads to an M-step that involves maximizing a standard Cox ...
  • Wand, Matt (Blackwell Publishing Ltd, 2009)
    Semiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric ...
  • Ruppert, David; Carroll, R.; Wand, Matt (Institute of Mathematical Statistics, 2009)
    Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology ? thus allowing more streamlined ...
  • Wang, Xiumei; Gao, Xinbo; Yuan, Yuan; Tao, Dacheng; Li, Jie (Elsevier Science Bv, 2010)
    In machine learning. Gaussian process latent variable model (GP-LVM) has been extensively applied in the field of unsupervised dimensionality reduction. When some supervised information, e.g., pairwise constraints or labels ...