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The GroupLASSO method for finding important explanatory factors suffers from the potential non-uniqueness of solutions and also from high computational costs. We formulate conditions for the uniqueness of GroupLASSO solutions which lead to an easily implementable test procedure. In addition to merel ...

Most practical image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of features, e.g. color- and texture features on different scales and/or different orientations, is to simply stac ...

Kernel methods have been successfully applied to a variety of biological data analysis problems. One problem of using kernels, however, is the lacking interpretability of the decision functions. It has been proposed to address this problem by using multiple kernels together with some combination rul ...