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Kiechle, M.; Habigt, T.; Hawe, S.; Kleinsteuber, M.
A Bimodal Co-Sparse Analysis Model for Image Processing
International Journal of Computer Vision
2014
Nov

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Jordan, J.; Hirsenkorn, N.; Klanner, F.; Kleinsteuber, M.
Vehicle Mass Estimation Based on Vehicle Vertical Dynamics Using a Multi-Model Filter
2041-2046
Proc. of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC'14)
Qingdao, China
2014

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Nieuwenhuis, C.; Cremers, D.; Hawe, S.; Kleinsteuber, M.
Co-Sparse Textural Similarity for Image Segmentation
European Conference on Computer Vision (ECCV'14)
Zürich, Switzerland
2014

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Seibert, M.; Wörmann, J.; Gribonval, R.; Kleinsteuber, M.
Separable Cosparse Analysis Operator Learning
European Signal Processing Conference (EUSIPCO)
Lisbon, Portugal
2014

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Karjee, J.; Kleinsteuber, M.; Jamadagni, H.S.
Spatial Data Estimation in Three Dimensional Distributed Wireless Sensor Networks
139-144
International Conference on Embedded Systems (ICES'14)
2014

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C. Hage, T. Habigt, and M. Kleinsteuber
Sparse DOA Estimation of Wideband Sound Sources Using Circular Harmonics
Technical Report, Technische Universität München
2014
Mar

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M. Seibert, M. Kleinsteuber, R. Gribonval, R. Jenatton, and F. Bach
On the Sample Complexity of Dictionary Learning
IEEE Statistical Signal Processing Workshop (SSP)
2014

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G. Chabriel, M. Kleinsteuber, E. Moreau, H. Shen, P. Tichavsky, and A. Yeredor
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications
IEEE Signal Processing Magazine
2014
May

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X. Wei, H. Shen, and M. Kleinsteuber
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures
IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP)
2014

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Hage C., and Kleinsteuber M.
Robust PCA and subspace tracking from incomplete observations using L0-surrogates
Computational Statistics
2014
Jun