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Inhalt des Dokuments

All Publications

2002

Wenning, G. and Obermayer, K. (2002). Adjusting Stochastic Resonance in a Leaky Integrate and Fire Neuron to Sub-threshold Stimulus Distributions. Neurocomputing, 44-46, 225 – 231.


Wenning, G. and Obermayer, K. (2002). Activity Driven Adaptive Stochastic Resonance. Advances in Neural Information Processing Systems 14. MIT Press, 301 – 308.,


Dima, A., Scholz, M. and Obermayer, K. (2002). Automatic Segmentation and Skeletonization of Neurons from Confocal Microscopy Images based on the 3D Wavelet Transform. IEEE Trans. on Image Proc., 11, 790 – 801.


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.,


Pielot, R., Scholz, M., Obermayer, K., Scheich, H., Gundelfinger, E. and Hess, A. (2003). A New Point-Based Warping Method for Enhanced and Simplified Analysis of Functional Brain Image Data. Neuroimage, 19, 1716 – 1729.


Schwabe, L. and Obermayer, K. (2003). Modelling the Adaptive Visual System: A Survey of Principled Approaches. Neur. Netw., 16, 1353 – 1371.


Seo, S., Bode, M. and Obermayer, K. (2003). Soft Nearest Prototype Classification. IEEE Transactions on Neural Networks, 14, 390 – 398.


Seo, S. and Obermayer, K. (2003). Soft Learning Vector Quantization. Neural Computation, 15, 1589 – 1604.


Dima, A., Scholz, M. and Obermayer, K. (2003). Automatic Segmentation and Skeletonization of Neurons from Confocal Microscopy Images Based on the 3-D Wavelet Transform. IEEE TRANSACTIONS ON IMAGE PROCESSING, 11, 790-801.


Bartsch, H. and Obermayer, K. (2003). Second Order Statistics of Natural Images. Neurocomputing, 52-54, 541 – 546.


Wenning, G. and Obermayer, K. (2003). Activity Driven Adaptive Stochastic Resonance. Physical Review Letters, 90, 120602.


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.,


Dima, A., Scholz, M. and Obermayer, K. (2003). Automatic 3D-Graph Construction of Nerve Cells from Confocal Microscopy Scans. Journal of Electronic Imaging, 12, 134 – 150.


Hoch, T., Wenning, G. and Obermayer, K. (2003). Adaptation using Local Information for Maximizing the Global Cost. Neurocomputing, 52 – 54, 467-472.


Hoch, T., Wenning, G. and Obermayer, K. (2003). Optimal Noise-Aided Signal Transmission through Populations of Neurons. Physical Review E, 68, 11911.


2004

Hochreiter, S. and Obermayer, K. (2004). Gene Selection for Microarray Data. Kernel Methods in Computational Biology. MIT Press, 319 – 356.,


Kanev, J., Wenning, G. and Obermayer, K. (2004). Approximating the Response-Stimulus Correlation for the Integrate and Fire Neuron. Journal of Neurocomputing, 58-60, 47 – 52.


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