@booklet {Desana2016,
	title = {Expectation Maximization for Sum-Product Networks as Exponential Family Mixture Models},
	year = {2016},
	note = {ArXiv},
	month = {April},
	url = {http://arxiv.org/abs/1604.07243},
	author = {Desana, M. and Schn{\"o}rr, C.}
}
@conference {petra-wmm08,
	title = {Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods},
	booktitle = {Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)},
	year = {2008},
	month = {Oct. 22-Oct. 25},
	publisher = {Ed Acad Romane, Bucuresti},
	organization = {Ed Acad Romane, Bucuresti},
	address = {Constanta, Romania},
	author = {Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@conference {Petra-et-al-08b,
	title = {Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods},
	booktitle = {Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08)},
	series = {Ed Acad Romane},
	year = {2008},
	address = {Bucharest, Romania},
	author = {Petra, S. and Popa, C. and Schn{\"o}rr, C.}
}
@article {Schellewald-et-al-07,
	title = {Evaluation of a convex relaxation to a quadratic assignment matching approach for relational object views},
	journal = {Image Vision Comp.},
	volume = {25},
	year = {2007},
	pages = {1301{\textendash}1314},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.}
}
@article {Neumann-et-al-PR,
	title = {Efficient Wavelet Adaption for Hybrid Wavelet-Large Margin Classifiers},
	journal = {Pattern Recognition},
	volume = {38},
	number = {11},
	year = {2005},
	pages = {1815-1830},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@techreport {Neumann-et-al-04b,
	title = {Effectively Finding the Optimal Wavelet for Hybrid Wavelet - Large Margin Signal Classification},
	number = {5},
	year = {2003},
	note = {\emphPattern Recognition, revised and resubmitted},
	month = {March},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Neumann, J. and Schn{\"o}rr, C. and Steidl, G.}
}
@techreport {Heiler-et-al-02,
	title = {Efficient Feature Subset Selection for Support Vector Machines},
	number = {21/2001},
	year = {2001},
	note = {submitted},
	month = {Oct.},
	institution = {Dept. Math. and Comp. Science},
	type = {Comp. Science Series, Technical Report},
	address = {University of Mannheim, Germany},
	author = {Heiler, M. and Daniel Cremers and Schn{\"o}rr, C.}
}
@conference {Schellewald-et-al-01c,
	title = {Evaluation of Convex Optimization Techniques for the Weighted Graph{\textendash}Matching Problem in Computer Vision},
	booktitle = {Mustererkennung 2001},
	series = {Lect. Notes Comp. Science},
	volume = {2191},
	year = {2001},
	month = {Sept. 12{\textendash}14},
	pages = {361{\textendash}368},
	publisher = {Springer},
	organization = {Springer},
	address = {Munich, Germany},
	author = {Schellewald, C. and Roth, S. and Schn{\"o}rr, C.},
	editor = {Radig, B. and Florczyk, S.}
}
@conference {Schnoerr-Neumann-dagm-92,
	title = {Ein Ansatz zur effizienten und eindeutigen Rekonstruktion st{\"u}ckweise glatter Funktionen},
	booktitle = {Mustererkennung 1992, 14. DAGM-Symposium},
	year = {1992},
	month = {sep},
	pages = {411{\textendash}416},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	address = {Dresden},
	author = {Schn{\"o}rr, C. and Neumann, B.},
	editor = {Fuchs, S. and Hoffmann, R.}
}
