@inproceedings{18337,
  abstract     = {Matching of rigid shapes is an important problem in numerous applications across the boundary of computer vision, pattern recognition and computer graphics communities. A particularly challenging setting of this problem is partial matching, where the two shapes are dissimilar in general, but have significant similar parts. In this paper, we show a rigorous approach allowing to find matching parts of rigid shapes with controllable size and regularity. The regularity term we use is similar to the spirit of the Mumford-Shah functional, extended to non-Euclidean spaces. Numerical experiments show that the regularized partial matching produces better results compared to the non-regularized one.},
  author       = {Bronstein, Alexander and Bronstein, Michael M.},
  booktitle    = {10th European Conference on Computer Vision},
  isbn         = {9783540886853},
  issn         = {0302-9743},
  location     = {Marseille, France},
  pages        = {143--154},
  publisher    = {Springer Berlin Heidelberg},
  title        = {{Regularized partial matching of rigid shapes}},
  doi          = {10.1007/978-3-540-88688-4_11},
  volume       = {5303},
  year         = {2008},
}

@inproceedings{18335,
  abstract     = {Blind deconvolution is considered as a problem of quasi maximum likelihood (QML) estimation of the restoration kernel. Simple closed-form expressions for the asymptotic estimation error are derived. The asymptotic performance bounds coincide with the Cramér-Rao bounds, when the true ML estimator is used. Conditions for asymptotic stability of the QML estimator are derived. Special cases when the estimator is super-efficient are discussed.},
  author       = {Bronstein, Alexander and Bronstein, Michael M. and Zibulevsky, Michael and Zeevi, Yehoshua Y.},
  booktitle    = {Proceedings of the 5th International Conference on Independent Component Analysis and Blind Signal Separation},
  isbn         = {9783540230564},
  issn         = {0302-9743},
  location     = {Granada, Spain},
  pages        = {677–684},
  publisher    = {Springer Nature},
  title        = {{QML blind deconvolution: Asymptotic analysis}},
  doi          = {10.1007/978-3-540-30110-3_86},
  volume       = {3195},
  year         = {2004},
}