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2007
R. Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., “Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification”, in Pattern Recognition -- 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.PDF icon Technical Report (491.56 KB)
R. Karim, Bergtholdt, M., Kappes, J. H., and Schnörr, C., “Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification”, in Pattern Recognition – 29th DAGM Symposium, 2007, vol. 4713, pp. 395-404.
B. Y. Renard, “An Improved Method for Peak Identification in Proteomic Mass Spectrometry Data”, University of Heidelberg, 2007.
D. Withopf and Jähne, B., “Improved training algorithm for tree-like classifiers and its application to vehicle detection”, in Proc. IEEE Intelligent Transportation Systems Conference (ITSC), 2007, p. 642--647.
B. Jähne, Popp, C., Schimpf, U., Garbe, C. S., and Jähne, B., “The influence of intermittency on air/water gas transfer measurements”, Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer-Verlag, 2007.
J. Gall, Potthoff, J., Schnörr, C., Rosenhahn, B., and Seidel, H. - P., “Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications”, J.~Math.~Imag.~Vision, vol. 28, p. 1--18, 2007.PDF icon Technical Report (1.11 MB)
J. Gall, Potthoff, J., Schnörr, C., Rosenhahn, B., and Seidel, H. - P., “Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications”, J. Math. Imag. Vision, vol. 28, pp. 1–18, 2007.
M. Frank, “Investigation of a 3D Camera”, University of Heidelberg, 2007.
R. Rocholz, “Kalibrierung der Color Imaging Slope Gauge & Auswertung der Wellenmessungen”, Institut für Umweltphysik, Universität Heidelberg, 2007.
B. Ommer and Buhmann, J. M., “Learning the Compositional Nature of Visual Objects”, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007, p. 1--8.PDF icon Technical Report (2.78 MB)
V. Lempitsky, Rother, C., and Blake, A., “LogCut - Efficient graph cut optimization for markov random fields”, in Proceedings of the IEEE International Conference on Computer Vision, 2007.
C. S. Garbe, “Measuring and Modeling Fluid Dynamic Processes using Digital Image Sequence Analysis”, vol. Habilitation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2007.
C. S. Garbe, “Measuring and Modeling Fluid Dynamic Processes using Digital Image Sequence Analysis”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.
M. Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., “Median and related local filters for tensor-valued images”, Signal Processing, vol. 87, pp. 291-308, 2007.PDF icon Technical Report (1007.29 KB)
M. Welk, Weickert, J., Becker, F., Schnörr, C., Feddern, C., and Burgeth, B., “Median and related local filters for tensor-valued images”, Signal Processing, vol. 87, pp. 291-308, 2007.
V. Kolmogorov and Rother, C., “Minimizing nonsubmodular functions with graph cuts - A review”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29. pp. 1274–1279, 2007.
B. Andres, “Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis”, University of Heidelberg, 2007.
B. Andres, “Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis”, University of Heidelberg, 2007.
L. Görlitz, “Modern Concepts for Semi-Supervised Learning and Multidimensional Image Processing”. University of Heidelberg, 2007.
B. H. Menze, Petrich, W., and Hamprecht, F. A., “Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy”, Analytical and Bioanalytical Chemistry, vol. 387, pp. 1801-1807, 2007.PDF icon Technical Report (283.47 KB)
C. Sigg, Fischer, B., Ommer, B., Roth, V., and Buhmann, J. M., “Nonnegative CCA for Audiovisual Source Separation”, in International Workshop on Machine Learning for Signal Processing, 2007, p. 253--258.PDF icon Technical Report (1.27 MB)
P. Ruhnau and Schnörr, C., “Optical Stokes Flow Estimation: An Imaging-Based Control Approach”, Exp.~in Fluids, vol. 42, p. 61--78, 2007.PDF icon Technical Report (1.54 MB)
P. Ruhnau and Schnörr, C., “Optical Stokes Flow Estimation: An Imaging-Based Control Approach”, Exp. in Fluids, vol. 42, pp. 61–78, 2007.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing binary MRFs via extended roof duality”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
C. Rother, Kolmogorov, V., Lempitsky, V., and Szummer, M., “Optimizing Binary MRFs via Extended Roof Duality Technical Report MSR-TR-2007-46”, Computing, 2007.
F. A. Hamprecht, Schnörr, C., and Jähne, B., Eds., “Pattern Recognition – 29th DAGM Symposium”, LCNS, vol. 4713. Springer, 2007.
F. A. Hamprecht, Jähne, B., and Schnörr, C., Eds., Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, vol. 4713. Springer, 2007.
C. Schnörr and Jähne, B., “Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14”, vol. 4713. Springer, 2007.
B. H. Menze, “Pattern Recognition in the Quantitative Analysis of Vector-Valued Image Data: Diagnostic Systems and Applications”. University of Heidelberg, 2007.
T. Preusser, Droske, M., Garbe, C. S., Rumpf, M., and Telea, A., “A phase field method for joint denoising, edge detection, and motion estimation in image sequence processing.”, SIAM Journal of Applied Mathematics, vol. 68, pp. 599-618, 2007.
U. Baus, “Phasenmessende Streifenreflektometrie mit Stereo-Monitor-Anordnung zur Vermessung von nicht stetigen spiegelnden Präzisionsflächen”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.
J. François Lalonde, Hoiem, D., Efros, A. A., Rother, C., Winn, J., and Criminisi, A., “Photo clip art”, in Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 2007.
S. Trittler, “Processing of Interferometric Data”. University of Heidelberg, 2007.
T. König, “Quality Control in Mass Spectrometry”, University of Heidelberg, 2007.
M. Schmidt, Jehle, M., and Jähne, B., “Range flow estimation based on photonic mixing device data”, in Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007, 2007.

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