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TU Berlin

Inhalt des Dokuments

All Publications

2006

Schwetz, I., Gruhler, G. and Obermayer, K. (2006). A Cross-Spectrum Weighting Algorithm for Speech Enhancement and Array Processing: Combining Locating and Long-Term Statistics. J. Acoust. Soc. Amer., 119, 952 – 964.


Seo, S. and Obermayer, K. (2006). Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006 Conference Proceedings. IEEE, 3196 – 3203.,10.1109/IJCNN.2006.247304


Adiloglu, K., Noll, T. and Obermayer, K. (2006). A Paradigmatic Approach to Extract the Melodic Structure of a Musical Piece. Journal New Music Research, 35, 221 – 236.


Adiloglu, K. and Obermayer, K. (2006). Melodic Topologies. Proceedings of the International Computer Music Conference, 111 – 114.,


Adiloglu, K. and Obermayer, K. (2006). A Reduction Method for the Paradigmatic Melodic Analysis. Proceedings International Conference on Mathematics and Computation in Music,


Vollgraf, R. and Obermayer, K. (2006). Quadratic Optimization for Simultaneous Matrix Diagonalization. IEEE Trans. Signal Processing Applications, 54, 3270 – 3278.


Vollgraf, R. and Obermayer, K. (2006). Sparse Optimization for Second Order Kernel Methods. IJCNN 2006 Conference Proceedings. IEEE, 145 – 152.,10.1109/IJCNN.2006.246672


2005

Hochreiter, S. and Obermayer, K. (2005). Optimal Gradient-Based Learning Using Importance Weights. Proceedings of the International Joint Conference on Neural Networks. IEEE, 114 – 119.,10.1109/IJCNN.2005.1555815


Hochreiter, S. and Obermayer, K. (2005). Optimal Kernels for Unsupervised Learning. Proceedings of the International Joint Conference on Neural Networks, 1895 – 1899.,10.1109/IJCNN.2005.1556169


Klose, C., Seo, S. and Obermayer, K. (2005). A New Clustering Approach for Partioning Directional Data. Int. J. Rock Mech. Mining Sci., 42, 315 – 321.


Mariño, J., Schummers, J., Lyon, D., Schwabe, L., Beck, O., Wiesing, P., Obermayer, K. and Sur, M. (2005). Invariant Computations in Local Cortical Networks with Balanced Excitation and Inhibition. Nature Neuroscience, 8, 194 – 201.


Mohr, J. and Obermayer, K. (2005). A Topographic Support Vector Machine: Classification Using Local Label Configurations. Advances in Neural Information Processing Systems 17. MIT Press, 929 – 936.,


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


Schwabe, L. and Obermayer, K. (2005). Learning Top-Down Gain Control in a Recurrent Network Model of a Visual Cortical Area. Vision Research, 45, 3202 – 3209.


Schwabe, L. and Obermayer, K. (2005). Adaptivity of Tuning Functions in a Generic Recurrent Network Model of a Cortical Hypercolumn. Journal of Neuroscience, 25, 3323 – 3332.


Adiloglu, K. and Obermayer, K. (2005). Finding Subsequences of Melodies in Musical Pieces. Proceedings International Computer Music Conference, 483 – 487.,


Vollgraf, R., Munk, M. and Obermayer, K. (2005). Spike Sorting of Multi-Site Electrode Recordings. Network - Computation in Neural Systems, 16, 85 – 113.


Beck, O., Chistiakova, M., Obermayer, K. and Volgushev, M. (2005). Adaptation of Synaptic Connections to Layer 2/3 Pyramidal Cells in Rat Visual Cortex. Journal of Neurophysiology, 94, 363 – 376.


Wenning, G., Hoch, T. and Obermayer, K. (2005). Detection of Pulses in a Colored Noise Setting. Physical Review E, 71, 21902.


Garg, A., Bhaumik, B. and Obermayer, K. (2005). Variable Discharge Pattern and Contrast Invariant Orientation Tuning of a Simple Cell: A Modeling Study. Neural Information Processing - Letters and Reviews, 6, 59 – 68.


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