Inge Koch

 

Work

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Recent Papers
  • S. Gilmour and I. Koch (2006). Unsupervised Partitioning with Principal Component and Independent Component Analysis.
  • I. Koch and K. Naito (2005). Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis.
  • I. Koch, J.S. Marron and J.Chen (2005). Simulation of a Non-Gaussian Population of Images.
  • M. Prasad, Arcot, S. and I. Koch (2005). Designing Relevant Features for Continuous Datasets Using ICA.
  • S. Gilmour, I. Koch, L. Degenhardt and C. Day (2005). Identification and quantification of change in Australian illicit drug markets.
  • J.T. Ormerod, M.P. Wand and I. Koch (2005). Penalised spline support vector classifiers: computational issues, IWSM, Sydney, Australia.
  • M. Prasad, Arcot, S, and I. Koch (2004). Efficient Feature Selection based on ICA. Proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference, ISSNIP_2004, Melbourne, Australia, 427-432
  • S. Gilmour and I. Koch (2004). Understanding Australian Illicit Drug Markets: Unsupervised Learning with Independent Component Analysis. Proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference, ISSNIP_2004, Melbourne, Australia, 271-276.
  • M. Prasad, Arcot, S, and I. Koch (2004). Feature Subset Selection using ICA for classifying Emphysema in HRCT images. International Conference on Pattern Recognition (ICPR) 2004, Cambridge, UK.
  • M.C. Jones and I. Koch (2003). Dependence Maps: Local Dependence in Practice. Statistics and Computing
  • I.K. Craig and I. Koch (2003). Experimental design for the economic performance evaluation of industrial controllers. Control Engineering Practice 11 57-66.
  • H L Mitchell, I Koch and R G Chadwick (2003). Linear interpolation error in measured surfaces in a dental erosion study.
  • B. Faddy, I. Koch and A. Pope (2001). A biased bootstrap approach to image segmentation. 20th Leeds Annual Statistics Research Workshop, Leeds, UK
Talks
Courses I teach
Research interests
  • Statistical learning
  • Image analysis
  • Functional data analysis
  • Function estimation, segmentation and change point problems
  • Image registration
  • Non-parametric regression