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Publications

Export 195 results:
Author Title Type [ Year(Asc)]
2008
Garbe, C S, 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 (2008). Nonlinear Analysis of Multi-Dimensional Signals. Mathematical Methods in Signal Processing and Digital Image Analysis. Springer. 231-288PDF icon Technical Report (7.11 MB)
Griessinger, M (2008). Oject Detection With Generic Features: An Application To Sted Microscopy. University of Heidelberg
Boppel, S (2008). Peak Identification For Liquid Chromatography And Mass Spectrometry. University of Heidelberg
Jäger, M and Hamprecht, F A (2008). Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes. IEEE Transactions on Industrial Electronics. 56:4 1307-1313
König, T, Menze, B H, Kirchner, M, Monigatti, F, Parker, K C, Patterson, T, Steen, J J, Hamprecht, F A and Steen, H (2008). Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics. Journal of Proteome Research. 7 3708-3717PDF icon Technical Report (1.16 MB)
Ommer, B (2008). Seeing The Objects Behind The Parts: Learning Compositional Models For Visual Recognition. VDM Verlag. http://www.amazon.com/Seeing-Objects-Behind-Parts-Compositional/dp/3639021444/ref=sr_1_1?ie=UTF8&s=books&qid=1232659136&sr=1-1
Andres, B, Köthe, U, Helmstaedter, M, Denk, W and Hamprecht, F A (2008). Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings. Springer. 5096 142-152PDF icon Technical Report (1.21 MB)
Jäger, M, Humbert, S and Hamprecht, F A (2008). Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes. IEEE Transactions on Industrial Electronics. 55 2177-2184PDF icon Technical Report (1.83 MB)
Jäger, M, Knoll, C and Hamprecht, F A (2008). Weakly Supervised Learning of a Classifier for Unusual Event Detection. IEEE Transactions on Image Processing. 17 1700-1708PDF icon Technical Report (295.32 KB)
Köthe, (2008). What Can We Learn from Discrete Images about the Continuous World. Discrete Geometry for Computer Imagery. Springer. 4992 4-19
2007
Kirchner, M, Saussen, B, Steen, H, Steen, J A J and Hamprecht, F A (2007). amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R. Journal of Statistical Software. 18 1-12. http://www.jstatsoft.org/v18/i04/paper
Kelm, B Michael, Menze, B H, Zechmann, C M, Baudendistel, K T and Hamprecht, F A (2007). Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification. Magnetic Resonance in Medicine. 57 150-159PDF icon Technical Report (348.05 KB)
Ommer, B and Buhmann, J M (2007). Compositional Object Recognition, Segmentation, and Tracking in Video. Proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 4679 318--333PDF icon Technical Report (2.78 MB)
Kelm, B Michael (2007). Evaluation of Vector-Valued Clinical Image Data Using Probabilistic Graphical Models: Quantification and Pattern Recognition. University of HeidelbergPDF icon Technical Report (4.89 MB)
Frank, M (2007). Investigation Of A 3D Camera. University of Heidelberg
Ommer, B and Buhmann, J M (2007). Learning the Compositional Nature of Visual Objects. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. IEEE. 1--8PDF icon Technical Report (2.78 MB)
Andres, B (2007). Model Selection In Optical Flow-Based Motion Estimation By Means Of Residual Analysis. University of Heidelberg
Görlitz, (2007). Modern Concepts for Semi-Supervised Learning and Multidimensional Image Processing. University of Heidelberg
Sigg, C, Fischer, B, Ommer, B, Roth, V and Buhmann, J M (2007). Nonnegative CCA for Audiovisual Source Separation. International Workshop on Machine Learning for Signal Processing. IEEE. 253--258PDF icon Technical Report (1.27 MB)
König, (2007). Quality Control In Mass Spectrometry. University of Heidelberg
Görlitz, L, Singh, M and Schützbach, P (2007). Schnelle 3D-Vermessung von Partikeln in Rasterelektronenmiskroskopen mit Hilfe eines Rücksteuerdetektors
Andres, B, Hamprecht, F A and Garbe, C S (2007). Selection of Local Optical Flow Models by Means of Residual Analysis. Pattern Recognition. Springer. 4713 72-81PDF icon Technical Report (229.64 KB)
Görlitz, L, Menze, B H, Weber, M - A and Kelm, B Michael (2007). Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields. Pattern Recognition. Springer. 4713 224-233PDF icon Technical Report (872.46 KB)
Hayn, M (2007). Statistical Analysis Of Spatio-Temporal Patterns In Global Nox Satellite Data. University of Heidelberg
Jäger, (2007). Time Series Analysis and Classification with State-Space Models for Industrial Processes and the Life Sciences. University of Heidelberg
2006
Kelm, B Michael, Müller, N, Menze, B H and Hamprecht, F A (2006). Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM. Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis). IEEE Computer Society. 96-103PDF icon Technical Report (232.69 KB)
Kelm, B Michael, Menze, B H, Neff, T, Zechmann, C M and Hamprecht, F A (2006). CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods.. Bildverarbeitung für die Medizin 2006 - Algorithmen, Systeme, Anwendungen. Springer. 51-55. http://www.efmi-wg-mip.net/service/bvm2006PDF icon Technical Report (275.25 KB)
Carlsohn, M F, Menze, B H, Kelm, B Michael, Hamprecht, F A, Kercek, A, Leitner, R and Polder, G (2006). Color image processing. CRC Press. 7(17) 393-419
Kelm, B Michael, Pal, C and McCallum, A (2006). Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning.. ICPR 2006. 2 828-832PDF icon Technical Report (114.99 KB)
Hader, S (2006). Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung. University of Heidelberg
Lerch, K (2006). Discontinuity Preserving Filtering Of Spectral Images. University of Heidelberg
Lichy, M P, Bachert, P, Hamprecht, F A, Weber, M - A, Debus, J, Schulz-Ertner, D, Kauczor, H - U and Schlemmer, H - P (2006). Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren. Zeitung für Röntgenforschung. 178 627-633
Roth, V and Ommer, B (2006). Exploiting Low-level Image Segmentation for Object Recognition. Pattern Recognition, Symposium of the DAGM. Springer. 4174 11--20PDF icon Technical Report (473.84 KB)
Ommer, B and Buhmann, J M (2006). Learning Compositional Categorization Models. Proceedings of the European Conference on Computer Vision. Springer. 3953 316--329PDF icon Technical Report (1.35 MB)
Ommer, B, Sauter, M and M., B J (2006). Learning Top-Down Grouping of Compositional Hierarchies for Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision. IEEE. 194--194PDF icon Technical Report (358.98 KB)

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