Gerhard Pöppel

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Although non-negative matrix factorization has become a popular data analysis tool for non-negative data sets, there are still some issues remaining partly unsolved. We investigate the potential of Bayesian techniques towards the solution of two important open questions concerning uniqueness and actual number of sources underlying the data. We derive a(More)
Die vorliegende Dissertationsschrift entstand während einer dreijährigen Zusammenarbeit mit der Firma Infineon Technologies AG Regensburg. Acknowledgements 135 Bibliography 136 iv CONTENTS Chapter 1 Introduction The main topic of this thesis is the investigation of a recently developed machine learning technique called Non-negative matrix factorization(More)