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S. Krause-Solberg and J. Maly. A tractable approach for one-bit Compressed
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S. Krause-Solber, M. Guillemard and A. Iske. On the Construction of Non-Negative Dimensionality Reduction Methods. Sampling Theory in Signal and Image Processing (16), pp. 23-36, 2017.
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S. Krause-Solberg and A. Iske. Non-Negative Dimensionality Reduction for
Audio Signal Separation by NNMF and ICA. In Proceedings IEEE International Conference on Sampling Theory and Applications, pp. 377–381. Washington, 2015.
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M. Guillemard, D. Heinen, A. Iske, S. Krause-Solberg, and G. Plonka. Adaptive Approximation Algorithms for Sparse Data Representation. In S. Dahlke,
W. Dahmen, M. Griebel, W. Hackbusch, K. Ritter, R. Schneider, C. Schwab, and H. Yserentant, editors, Extraction of Quantifiable Information from Complex Systems, volume 102 of Lecture Notes in Computational Science and Engineering, chapter Adaptive Approximation Algorithms for Sparse Data Representation, pp. 281–302. Springer, 2014.
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M. Guillemard, A. Iske, and S. Krause-Solberg. Dimensionality Reduction Methods in Independent Subspace Analysis for Signal Detection. In Proceedings
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