2008
M. Enzweiler and Gavrila, D. M.,
“Monocular Pedestrian Detection: Survey and Experiments”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, available online: IEEE Computer Society Digital Library, http://doi.ieeecomputersociety.org/10.1109/TPAMI.2008.260, 2008.
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.
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.
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.
C. S. Garbe, Roetmann, K., Beushausen, V., and Jähne, B.,
“An optical flow MTV based technique for measuring microfluidic flow in the presence of diffusion and Taylor dispersion”,
Exp. Fluids, vol. 44, p. 439--450, 2008.
P. Kohli, Shekhovtsov, A., Rother, C., Kolmogorov, V., and Torr, P.,
“On partial optimality in multi-label MRFs”, in
Proceedings of the 25th International Conference on Machine Learning, 2008, pp. 480–487.
M. Schmidt, Jehle, M., and Jähne, B.,
“Range flow estimation based on photonic mixing device data”,
Int. J. Intelligent Systems Technologies and Applications, vol. 5, p. 380--392, 2008.
U. Köthe,
“Reliable Low-Level Image Analysis”,
Habilitation thesis. Department Informatik, University of Hamburg, Hamburg, 2008.
Technical Report (12.44 MB) T. König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H.,
“Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics”,
Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.
Technical Report (1.16 MB) O. Friedrich, Weber, C., Both, M., von Wegner, F., Chamberlain, J. S., Garbe, C. S., and Fink, R. H. A.,
“Sarcomere Structure and Motor-Protein Function in an Animal Model of Duchenne Muscular Dystrophy (mdx mouse)”, in
87th Annual Meeting of the German Physiological Society, 2008.
B. Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A.,
“Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification”, in
Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.
Technical Report (1.21 MB) S. Petra, Schröder, A., Wieneke, B., and Schnörr, C.,
“On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in
Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 294--303.
Technical Report (1014.71 KB) S. Petra, Schröder, A., Wieneke, B., and Schnörr, C.,
“On Sparsity Maximization in Tomographic Particle Image Reconstruction”, in
Pattern Recognition – 30th DAGM Symposium, 2008, vol. 5096, pp. 294–303.
M. Schmidt,
“Spatiotemporal Analysis of Range Imagery”. IWR, Fakultät für Physik und Astronomie, University of Heidelberg, 2008.
R. Rocholz,
“Spatiotemporal Measurement of Short Wind-Driven Water Waves”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.
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