Dipl.-Math. Matthias Seibert

Kontakt:

E-Mail: m.seibert@tum.de

Forschungsinteressen

  • Sparse Coding
  • Geometric Optimization
  • Complexity of Learning


Publikationen

M. Seibert, J. Wörmann, R. Gribonval, and M. Kleinsteuber
Learning Co-Sparse Analysis Operators with Separable Structures
IEEE Transactions on Signal Processing 64(1), pp. 120-130, January 2016
Preprint: [arXiv]

R. Gribonval, R. Jenatton, F.Bach, M. Kleinsteuber, and M. Seibert
Sample Complexity of Dictionary Learning and Other Matrix Factorizations
IEEE Transactions on Information Theory 61(6), pp. 3469-3486, June 2015
Preprint: [arXiv] Citation: [bibTeX]

M. Seibert, J. Wörmann, R. Gribonval, and M. Kleinsteuber
Separable Cosparse Analysis Operator Learning
European Signal Processing Conference (EUSIPCO), September 2014, Lisbon, Portugal
Preprint: [arXiv] Citation: [bibTeX]

M. Seibert, M. Kleinsteuber, R. Gribonval, R. Jenatton, and F. Bach
On the Sample Complexity of Dictionary Learning
IEEE Statistical Signal Processing Workshop (SSP), June 2014, Gold Coast, Australia
Preprint: [arXiv] Citation: [bibTeX]

S. Hawe, M. Seibert, and M. Kleinsteuber
Separable Dictionary Learning
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013, pp. 438-445
Preprint: [arXiv] Citation: [bibTeX]