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TU Berlin

Inhalt des Dokuments

All Publications

Neubauer, N. and Obermayer, K. (2010). Community Detection in Tagging-Induced Hypergraphs. Workshop on Information in Networks, 24.- 25. September 2010, New York University, NY, USA, 1-5.,


Neubauer, N., Scheel, C., Albayrak, A. and Obermayer, K. (2007). Distance Measures in Query Space: How Strongly to Use Feedback from Past Queries. Proceedings of the IEEE Conference on Web Intelligence 2007. IEEE, 607 – 613.,10.1109/WI.2007.65


Neubauer, N., Wetzker, R. and Obermayer, K. (2009). Tag Spam Creates Large Non-Giant Connected Components. AIRWeb '09 Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web. Association for Computing Machinery, 49 – 52.,10.1145/1531914.1531925


Normann, I., Purwins, H. and Obermayer, K. (2001). Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones. International Computer Music Conference, (1 – 3).,


Obermayer, K. (2000). Modeling the Formation of Sensory Representations in the Brain. Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic, Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3. Springer Netherlands, 215 – 232.,10.1007/978-94-010-0870-9_16



Obermayer, K. (1992). Neural Pattern Formation and Self-Organizing Maps. Annales de Groupe CARNAC 5, 91 – 104.,


Obermayer, K., Blasdel, G. and Schulten, K. (1991). A Neural Network Model for the Formation of the Spatial Structure of Retinotopic Maps, Orientation- and Ocular Dominance Columns. Artificial Neural Networks I. North Holland, 505 – 511.,


Obermayer, K., Heller, H., Ritter H. and K., S. (1990). Simulation of Self-Organizing Neural Nets: A Comparison between a T800-Transputer System and a Connection Machine. Transputer Research and Applications, 95 – 106.,


Obermayer, K., Kiorpes, L. and Blasdel, G. (1994). Development of Orientation and Ocular Dominance Columns in Infant Macaques. Advances in Neural Information Processing Systems 6. Morgan Kaufmann Publishers, 543 – 550.,


Obermayer, K., Ritter H. and Schulten, K. (1990). Large-Scale Simulation of a Self-Organizing Neural Network: Formation of a Somatopic Map. Parallel Processing in Neural Systems and Computers. Elsevier, 71 – 74.,


Obermayer, K., Ritter, H. and Schulten, K. (1991). Development and Spatial Structure of Cortical Feature Maps: a Model Study. Advances in Neural Information Processing Systems. Morgan Kaufmann Publishers, 11 – 17.,


Obermayer, K., Ritter, H. J. and Schulten, K. J. (1990). A Neural Network Model for the Formation of Topographic Maps in the CNS: Development of Receptive Fields. Proceedings of the International Joint Conference on Neural Networks (San Diego, CA). Piscataway, NJ: IEEE.,10.1109/IJCNN.1990.137749


Obermayer, K., Schulten, K. and Blasdel, G. (1992). A Comparison of a Neural Network Model for the Formation of Brain Maps with Experimental Data. Advances in Neural Information Processing Systems 4. Morgan Kaufmann Publishers, 83 – 90.,


Ochab, B., Neubauer, N. and Obermayer, K. (2008). Personalized Recommendations for the Web 3D. Lecture Notes in Computer Science. Springer Verlag, 374 – 377.,http://dx.doi.org/10.1007/978-3-540-70987-9_57


Onken, A., Grünewälder, S., Munk, M. and Obermayer, K. (2009). Modeling Short-Term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. Advances in Neural Information Processing Systems 21. MIT Press, 1233 – 1240.,


Onken, A., Grünewälder, S. and Obermayer, K. (2009). Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. Advances in Neural Information Processing Systems 22. MIT Press, 1383 – 1391.,


Pannicke, D., Hahne, M., Neubauer, N., Ochab, B., Lieb, R., Meister, M., Obermayer, K., Rammert, W. and Zarnekow, R. (2010). Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten. Multikonferenz Wirtschaftsinformatik 2010. Universitätsverlag Göttingen, 1191 – 1201.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (1999). Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 417 – 421.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 28 – 32.,


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