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TU Berlin

Inhalt des Dokuments

Konferenzpublikationen

2006

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). 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


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.,


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


Gaudnek, M., Hess, A., Obermayer, K., Budinsky, L., Brune, K. and Sibila, M. (2005). Geometric Reconstruction of the Rat Vascular System Imaged by MRA. IEEE International Conference on Image Processing 2005. IEEE, 1278-1281.,10.1109/ICIP.2005.1530296


Grünewälder, S. and Obermayer, K. (2005). Attention Driven Memory. Proceedings of the 27th Annual Conf. of the Cognitive Science Society, 845 – 850.,


2004

Adiloglu, K. and Obermayer, K. (2004). An Evolutionary Approximation of the Similarity Neighborhood Model for the Melodic Segmentation. Proceedings of the 4th Interantional Conference on Understanding and Creating Music, Caserta, 23 – 27.,


Vollgraf, R., Scholz, M., Meinertzhagen, I. and Obermayer, K. (2004). Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression. Advances in Neural Information Processing Systems 16. MIT Press, 717 – 724.,



Garg, A., Bhaumik, B. and Obermayer, K. (2004). Development of a Simple Cell Preceptive Field Structure: A Model Based on Hetero-Synaptic Interactions. Lecture Notes in Computer Science. Springer-Verlag, 64 – 68.,


2003

Hochreiter, S., Mozer, M. and Obermayer, K. (2003). Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems. Advances in Neural Information Processing Systems 15. MIT Press, 561 – 568.,


Hochreiter, S. and Obermayer, K. (2003). Feature Selection and Classification on Matrix Data: From Large Margins To Small Covering Numbers. Advances in Neural Information Processing Systems 15. MIT Press, 913 – 920.,


Hochreiter, S. and Obermayer, K. (2003). Classification and Feature Selection on Matrix Data with Application to Gene-Expression Analysis. Proceedings of the International Statistical Institute, (1 – 4).,


Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2003). Segmentation of 2 1/2 D Brain Image Stacks with Automatic Extraction and Visualization of Functional Information. Proceedings of the IEEE International Conference of Image Processing - ICIP03, 1089 – 1092.,


Cuadros-Vargas, E., Romero, R. and Obermayer, K. (2003). Speeding up Algorithms of the SOM Family for Large and High Dimensional Databases. Proceedings WSOM, 167 – 172.,


2002

Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2002). Automatic Extraction of Anatomical and Functional Brain Data from Autoradiographic Image Stacks. Data analysis, physiological methods, statistics II, Soc. Neurosci. Abstr., 312.14.,


Vollgraf, R. and Obermayer, K. (2002). Multi Dimensional ICA to Separate Correlated Sources. Advances in Neural Information Processing Systems 14. MIT Press, 993 – 1000.,


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