| Analysis operator learning and its application to image reconstruction S Hawe, M Kleinsteuber, K Diepold IEEE Transactions on Image Processing 22 (6), 2138-2150, 2013 | 145 | 2013 |
| Joint matrices decompositions and blind source separation: A survey of methods, identification, and applications G Chabriel, M Kleinsteuber, E Moreau, H Shen, P Tichavsky, A Yeredor IEEE Signal Processing Magazine 31 (3), 34-43, 2014 | 116 | 2014 |
| Separable dictionary learning S Hawe, M Seibert, M Kleinsteuber Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 105 | 2013 |
| A joint intensity and depth co-sparse analysis model for depth map super-resolution M Kiechle, S Hawe, M Kleinsteuber Proceedings of the IEEE international conference on computer vision, 1545-1552, 2013 | 88 | 2013 |
| Sample complexity of dictionary learning and other matrix factorizations R Gribonval, R Jenatton, F Bach, M Kleinsteuber, M Seibert IEEE Transactions on Information Theory 61 (6), 3469-3486, 2015 | 80 | 2015 |
| Dense disparity maps from sparse disparity measurements S Hawe, M Kleinsteuber, K Diepold 2011 International Conference on Computer Vision, 2126-2133, 2011 | 80 | 2011 |
| pROST: a smoothed -norm robust online subspace tracking method for background subtraction in video F Seidel, C Hage, M Kleinsteuber Machine vision and applications 25 (5), 1227-1240, 2014 | 79 | 2014 |
| Local convergence analysis of FastICA and related algorithms H Shen, M Kleinsteuber, K Huper IEEE Transactions on Neural Networks 19 (6), 1022-1032, 2008 | 40 | 2008 |
| Blind source separation with compressively sensed linear mixtures M Kleinsteuber, H Shen IEEE signal processing letters 19 (2), 107-110, 2011 | 39 | 2011 |
| Combining knowledge modeling and machine learning for alarm root cause analysis L Abele, M Anic, T Gutmann, J Folmer, M Kleinsteuber, B Vogel-Heuser IFAC Proceedings Volumes 46 (9), 1843-1848, 2013 | 38 | 2013 |
| Robust PCA and subspace tracking from incomplete observations using -surrogates C Hage, M Kleinsteuber Computational Statistics 29 (3-4), 467-487, 2014 | 32 | 2014 |
| Network volume anomaly detection and identification in large-scale networks based on online time-structured traffic tensor tracking H Kasai, W Kellerer, M Kleinsteuber IEEE Transactions on Network and Service Management 13 (3), 636-650, 2016 | 30 | 2016 |
| Improving non-profiled attacks on exponentiations based on clustering and extracting leakage from multi-channel high-resolution EM measurements R Specht, J Heyszl, M Kleinsteuber, G Sigl International Workshop on Constructive Side-Channel Analysis and Secure …, 2015 | 28 | 2015 |
| Rolling stiefel manifolds K Hüper, M Kleinsteuber, F Silva Leite International Journal of Systems Science 39 (9), 881-887, 2008 | 25 | 2008 |
| Spin dynamics: A paradigm for time optimal control on compact Lie groups G Dirr, K Hüper, M Kleinsteuber, Y Liu journal of Global Optimization 35 (3), 443-474, 2006 | 24 | 2006 |
| Relative C -numerical ranges for applications in quantum control and quantum information G Dirr, U Helmke, M Kleinsteuber, T Schulte-Herbrüggen Linear and Multilinear Algebra 56 (1-2), 27-51, 2008 | 23 | 2008 |
| Relative C-numerical ranges for applications in quantum control and quantum information G Dirr, U Helmke, M Kleinsteuber, T Schulte-Herbrüggen Linear and Multilinear Algebra 56 (1-2), 27-51, 2008 | 23 | 2008 |
| Analysis based blind compressive sensing J Wörmann, S Hawe, M Kleinsteuber IEEE Signal Processing Letters 20 (5), 491-494, 2013 | 20 | 2013 |
| Co-sparse textural similarity for interactive segmentation C Nieuwenhuis, S Hawe, M Kleinsteuber, D Cremers European conference on computer vision, 285-301, 2014 | 18 | 2014 |
| Complex blind source separation via simultaneous strong uncorrelating transform H Shen, M Kleinsteuber International Conference on Latent Variable Analysis and Signal Separation …, 2010 | 18 | 2010 |
Hao Shenfortiss GmbH/TUMVerified email at tum.de
