Inge Koch

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Prediction of multivariate responses with a selected number of principal components

Inge Koch, Kanta Naito, I. Koch, 2008, Comput. Stat. Data Anal..

Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis

Inge Koch, Kanta Naito, I. Koch, 2007, Neural Computation.

Analysis of Multivariate and High-Dimensional Data

I. Koch, Inge Koch, 2013 .

Analysis of Multivariate and High-Dimensional Data: Notation

Inge Koch, I. Koch, Inge Koch, 2013 .

Feature significance for multivariate kernel density estimation

Inge Koch, Matthew P. Wand, Tarn Duong, 2008, Comput. Stat. Data Anal..

Analysis of Multivariate and High-Dimensional Data: Notation

Inge Koch, Inge Koch, 2013 .

A Feature Extraction Approach to Characterising Ovarian Cancer using Imaging Mass Spectrometry

Peter Hoffmann, Inge Koch, Stephan Meding, 2014 .

Feature extraction for proteomics imaging mass spectrometry data

I. Koch, P. Hoffmann, O. J. Gustafsson, 2014, 1410.1630.

Designing Relevant Features for Continuous Data Sets Using ICA

Arcot Sowmya, Inge Koch, Mithun Nagendra Prasad, 2008, Int. J. Comput. Intell. Appl..

Interpreting variability in global SST data using independent component analysis and principal component analysis

Upmanu Lall, I. Koch, Ashish Sharma, 2009 .

Tests for monotonicity of a regression mean with guaranteed level

Irène Gijbels, Inge Koch, M. C. Jones, 2000 .

Sparse Principal Component Analysis With Preserved Sparsity Pattern

Navid Shokouhi, Abd-Krim Seghouane, Inge Koch, 2019, IEEE Transactions on Image Processing.

Robustifying principal component analysis with spatial sign vectors

I. Koch, H. Oja, S. Taskinen, 2012 .

Measuring Comonotonicity in M-Dimensional Vectors

Inge Koch, Ann De Schepper, A. De Schepper, 2011, ASTIN Bulletin.

Polynomial Histograms for Multivariate Density and Mode Estimation

Inge Koch, Kanta Naito, Junmei Jing, 2012 .

Dependence maps: Local dependence in practice

M. C. Jones, M. C. Jones, I. Koch, 2003, Stat. Comput..

Efficient feature selection based on independent component analysis

A. Sowmya, M. Prasad, I. Koch, 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..

Feature subset selection using ICA for classifying emphysema in HRCT images

Arcot Sowmya, Inge Koch, Mithun Nagendra Prasad, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

On the feasibility of cross-validation in image analysis

Inge Koch, Peter Hall, P. Hall, 1992 .

Penalised spline support vector classifiers: computational issues

Inge Koch, Matt P. Wand, John T. Ormerod, 2008, Comput. Stat..

Computationally efficient multidimensional analysis of complex flow cytometry data using second order polynomial histograms

Holden Maecker, Junmei Jing, John Zaunders, 2016, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Analysis of Multivariate and High-Dimensional Data: Preface

Inge Koch, 2013 .

Pattern recognition based on canonical correlations in a high dimension low sample size context

Inge Koch, Mitsuru Tamatani, Kanta Naito, 2012, J. Multivar. Anal..

Highest Density Difference Region Estimation with Application to Flow Cytometric Data

Inge Koch, M P Wand, Tarn Duong, 2009, Biometrical journal. Biometrische Zeitschrift.

A new formulation of the magnetic relief problem

Inge Koch, C. Tarlowski, C. Tarlowski, 1987 .

A New Method for the Construction of Bivariate Archimedean Copulas Based on the λ Function

I. Koch, A. De Schepper, Frederik Michiels, 2011 .