Publications

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2007
T. König, Quality Control in Mass Spectrometry, University of Heidelberg, 2007.
L. Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael, Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields, in Pattern Recognition, 2007, vol. 4713, pp. 224-233.PDF icon Technical Report (872.46 KB)
S. Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., Spine Detection and Labeling Using a Parts-Based Graphical Model, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.PDF icon Technical Report (1.46 MB)
S. Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., Spine Detection and Labeling Using a Parts-Based Graphical Model, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.
C. Schnörr, Schüle, T., and Weber, S., Variational Reconstruction with DC-Programming, Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston, 2007.
2008
M. Kirchner, Analysis of Spectral Data. University of Heidelberg, 2008.
R. Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., A comparative study of energy minimization methods for Markov random fields with smoothness-based priors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068–1080, 2008.
R. Szeliski, Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., and Rother, C., A comparative study of energy minimization methods for Markov random fields with smoothness-based priors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1068–1080, 2008.
M. Hanselmann, Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., Concise Representation of MS Images by Probabilistic Latent Semantic Analysis, Analytical Chemistry, vol. 80, pp. 9649-9658, 2008.PDF icon Technical Report (3.91 MB)
J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation, IWR, University of Heidelberg, 2008.PDF icon Technical Report (2.6 MB)
J. A. J. Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W., Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis, Proceedings of the National Academy of Sciences, vol. 105, pp. 6069-6074, 2008.PDF icon Technical Report (173.02 KB)
J. A. J. Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W., Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis, Proceedings of the National Academy of Sciences, vol. 105, pp. 6069-6074, 2008.PDF icon Technical Report (173.02 KB)
J. Scholz, Wiersbinski, T., Ruhnau, P., Kondermann, D., Garbe, C. S., Hain, R., and Beushausen, V., Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation, Exp. Fluids, vol. 45, p. 583--593, 2008.
B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.PDF icon Technical Report (1.58 MB)
B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.PDF icon Technical Report (1.58 MB)
B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.PDF icon Technical Report (1.58 MB)
B. Andres, Kondermann, C., Kondermann, D., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, 2008, p. 1--6.
B. Andres, Kondermann, C., Kondermann, D., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, 2008, p. 1--6.
L. Torresani, Kolmogorov, V., and Rother, C., Feature correspondence via graph matching: Models and global optimization, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596–609.
L. Torresani, Kolmogorov, V., and Rother, C., Feature correspondence via graph matching: Models and global optimization, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5303 LNCS, pp. 596–609.
S. Vicente, Kolmogorov, V., and Rother, C., Graph cut based image segmentation with connectivity priors, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2008.
J. F. Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., Inverse Problems and Parameter Identification in Image Processing, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.
J. F. Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., Inverse Problems and Parameter Identification in Image Processing, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.
J. F. Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O., Inverse Problems and Parameter Identification in Image Processing, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.
J. H. Kappes and Schnörr, C., MAP-Inference for Highly-Connected Graphs with DC-Programming, in Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 1–10.
J. H. Kappes and Schnörr, C., MAP-Inference for Highly-Connected Graphs with DC-Programming, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 1--10.PDF icon Technical Report (1.91 MB)
B. H. Menze, Kelm, B. Michael, Weber, M. - A., Bachert, P., and Hamprecht, F. A., Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI, Magnetic Resonance in Medicine, vol. 59, pp. 1457-1466, 2008.PDF icon Technical Report (1.45 MB)
M. Enzweiler, Kanter, P., and Gavrila, D. M., Monocular Pedestrian Recognition Using Motion Parallax, in Proc. IEEE Symposium on Intelligent Vehicles, 2008, pp. 792-797.
D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., Motion Estimation Based on a Temporal Model of Fluid Flows, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.
D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., Motion Estimation Based on a Temporal Model of Fluid Flows, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.
D. Kondermann, Kondermann, C., Berthe, A., Kertzscher, U., and Garbe, C. S., Motion Estimation Based on a Temporal Model of Fluid Flows, in 13th International Symposium on Flow Visualization, 2008, pp. 1-10.
B. Y. Renard, Kirchner, M., Steen, H., Steen, J. A. J., and Hamprecht, F. A., NITPICK: Peak Identification for Mass Spectrometry Data, BMC Bioinformatics, vol. 9, p. 355, 2008.PDF icon Technical Report (643.89 KB)
C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., Nonlinear Analysis of Multi-Dimensional Signals, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.PDF icon Technical Report (7.11 MB)
C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., Nonlinear Analysis of Multi-Dimensional Signals, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.PDF icon Technical Report (7.11 MB)
C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.

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