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

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

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

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

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

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

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

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

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

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