Browsing Cyfrifiadureg / Computer Science by Title

H...............H

Browsing Cyfrifiadureg / Computer Science by Title

Sort by: Order: Results:

  • Zwiggelaar, Reyer (1995)
    Ongeveer honderd jaar geleden werd rontgenstraling voor het eerst waargenomen. Nog steeds worden niet alle aspecten van dit gedeelte van het elektromagnetische spectrum volledig begrepen. Er heeft zich een onderzoekscultuur ...
  • Zhou, Hong; Liu, Yonghuai (2008-01-01)
    3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, reconstructed object surfaces using range ...
  • Li, Longzhuang; Liu, Honghai; Wei, Baogang; Liu, Yonghuai (2007-09)
    Automatic and accurate range image registration is often a prerequisite step for range image analysis and interpretation. Due to occlusion, appearance and disappearance of points in different images, outliers inevitably ...
  • Reffell, Pete; Dee, Hannah (1999)
    In this poster we intend to outline the approach adopted by the ACOM (COMputing For All) courses, which are intended to provide a comprehensive introduction to Information Technology for undergraduates from a non-computing ...
  • Tuci, Elio; Massera, Gianluca; Nolfi, Stefano (2009-05-18)
    Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a cognitive process whereby the brain constructs an internal representation ...
  • Tuci, Elio; Massera, G.; Nolfi, S. (2010-12-03)
    Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a process whereby the brain constructs an internal representation of the ...
  • Price, Chris; Snooke, Neal; Lewis, Stuart (2003-08)
    Much research in model-based reasoning has concentrated on the use of a single, usually qualitative, level of modeling. This is less than ideal for many engineering applications, where the amount of knowledge available ...
  • Hülse, Martin; Lee, Mark (Springer-Verlag, Berlin, 2010-08)
    The engineering of humanoid or similar robot systems requires frameworks and architectures that support the integration of a variety of sensorimotor modalities. Within our computational framework for visually guided reaching ...
  • Meng, Qinggang; Lee, Mark (2003-07)
    In this paper, we describe an approach to adapting home service robot behaviors by reusing the experience learned and interacting with humans. Experience is situation-based and is integrated into each behavior in a distributed ...
  • Rowland, Jeremy John; Taylor, Janet (2002)
    This paper relates to supervised interpretation of the infrared analytical spectra of complex biological samples. The aim is to produce a model that can predict the value of a measurand of interest, such as the concentration ...
  • Yang, Longzhi; Shen, Qiang (2011-12-12)
    Fuzzy interpolative reasoning strengthens the power of fuzzy inference by the enhancement of the robustness of fuzzy systems and the reduction of the systems’ complexity. However, after a series of interpolations, it is ...
  • Shen, Qiang; Yang, Longzhi (2010-07)
    Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning owning to its efficient identification and correction of defective interpolated rules during the interpolation process [11]. This ...
  • Shen, Qiang; Yang, Longzhi (IEEE, 2011-09-26)
    Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning. It first identifies all possible sets of faulty fuzzy reasoning components, termed the candidates, each of which may have led to all ...
  • Shen, Qiang; Yang, Longzhi (IEEE, 2011-09-26)
    Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning. It views interpolation procedures as artificially created system components, and identifies all possible sets of faulty components ...
  • Negrello, Mario; Pasemann, Frank; Hülse, Martin (IGI Global Publishing, 2008-01)
    Neurodynamics is the application of dynamical systems theory (DST) to the analysis of the structure and function of recurrent neural networks (RNNs). In this chapter, we present RNNs artificially evolved for the control ...
  • Wilson, James; Geng, Tao; Sheldon, Michael; Hülse, Martin; Lee, Mark (2010-11)
    This paper describes a prototype robot grasping system that uses human grasping synergies and a self-organizing map to learn object affordances. The bio-inspired design of the system is presented as well as some of the ...
  • Shen, Qiang; Shang, Changjing (2006)
    This paper presents an application of supervised machine learning approaches to the classification of the yeast S. cerevisiae gene expression data. Established feature selection techniques based on information gain ranking ...
  • Shang, Changjing; Shen, Qiang (IEEE, 2008)
    This paper presents a methodological approach for developing image classifiers that work by exploiting the technical potential of both fuzzy-rough feature selection and neural network-based classification. The use of ...
  • Lee, Mark; Bell, Jonathan; Coghill, George (2001-05)
    Qualitative electrical circuit models have now been developed by the QR community to the extent that they can be found in commercial software products. Our own work, including this paper, deals with steady-state models ...
  • Friedrich, Tobias; He, Jun; Hebbinghaus, Nils; Neumann, Frank; Witt, Carsten (2009-11-20)
    Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast, the theoretical understanding of the interplay of different optimization methods is rare. In this paper, we make a first ...

Search Cadair


Advanced Search

Browse

My Account