direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

All Publications

Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Point-Based Warping with Optimized Weighting Factors of Displacement Vectors.. Medical Imaging 2000, 1387 – 1395.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2001). 3D Edge Detection to Define Landmarks for Point-based Warping in Brain Imaging. International Conference on Image Processing - ICIP01. IEEE, 343 – 346.,10.1109/ICIP.2001.958498


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging. 4th IEEE Southwest Symposium on Image Analysis and Interpretation. IEEE, 264 – 268.,10.1109/IAI.2000.839612


Srinivasan, D. and Obermayer, K. (2011). Probabilistic prototype models for attributed graphs. ,


Piepenbrock, C. and Obermayer, K. (2001). Cortical Orientation Map Development from Natural Images: the Role of Cortical Response Amplification in V1. Neural Coding of Perceptual Systems. World Scientific Publishers, 161 – 168.,




Jain, B. and Obermayer, K. (2010). Accelerating Competetive Learning Graph Quantization. ,


Piepenbrock, C. and Obermayer, K. (1999). The Role of Lateral Cortical Competition in Ocular Dominance Development. Advances in Neural Information Processing Systems 11. MIT Press, 139 – 145.,


Piepenbrock, C., Ritter, H. and Obermayer, K. (1996). Cortical Map Development Driven by Spontaneous Retinal Activity Waves. Artificial Neural Networks - ICANN 96. Springer Berlin Heidelberg, 427 – 432.,10.1007/3-540-61510-5_74


Purwins, H., Blankertz, B. and Obermayer, K. (2008). Toroidal Models in Tonal Theory. Tonal Theory for the Digital Age - Computing in Musicology. Stanford University, 73 – 98.,


Purwins, H., Blankertz, B. and Obermayer, K. (2001). Constant Q Profiles for Tracking Modulations in Audio Data. Proceedings of the International Computer Music Conference. IEEE, 274 – 276.,10.1109/IJCNN.2000.859408


Purwins, H., Blankertz, B. and Obermayer, K. (2001). Modelle der Musikwahrnehmung zwischen auditorischer Neurophysiologie und Psychoakustik. KlangForschung \?99. Pfau-Verlag, (1 – 21).,


Purwins, H., Graepel, T. and Obermayer, K. (2004). Correspondence Analysis of Pitch Class, Key, and Composer. Perspectives of Mathematical and Computational Music Theory. Epos-Verlag, 432 – 454.,


Purwins, H., Normann, I. and Obermayer, K. (2005). Unendlichkeit - Konstruktion musikalischer Paradoxien. Mikrotöne und mehr: Auf György Ligetis Hamburger Pfaden. Bockel-Verlag, 39 – 80.,


Purwins, P., Blankertz, B. and Obermayer, K. (2000). A New Method for Tracking Modulations in Tonal Music in Audio Data Format. Neural Networks - IJCNN 2000. IEEE Computer Society, 270 – 275.,


Ritter, H., Obermayer, K. and Rubner, J. (1991). Self-Organizing Maps and Adaptive Filters. Physics of Neural Networks. Springer, 281 – 306.,


Südholt, M., Piepenbrock, C., Obermayer, K. and Pepper, P. (1997). Solving Large Systems of Differential Equations using Convolutions by Transformation. IFIP Working Conference on Algorithmic Languages and Calculi, Strasbourg. Chapman \\& Hall, (1 – 27).,


Schöner, H., Stetter, M., Schiessl, I., Mayhew, J., Lund, J., McLoughlin, N. and Obermayer, K. (1999). Blind Separation of Noisy Mixtures by Iterative Decorrelation.. Proceedings. The Learning Workshop, Snowbird, USA, (1 – 2).,


Schöner, H., Stetter, M., Schießl, I., Mayhew, J., Lund, J., McLoughlin, N. and Obermayer, K. (2000). Application of Blind Separation of Sources to Optical Recording of Brain Activity. Advances in Neural Information Processing Systems 12. MIT Press, 949 – 955.,


Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions